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Computational Intelligence And Applications
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1Fuzzy If-then Rules In Computational Intelligence : Theory And Applications
“Fuzzy If-then Rules In Computational Intelligence : Theory And Applications” Metadata:
- Title: ➤ Fuzzy If-then Rules In Computational Intelligence : Theory And Applications
- Language: English
“Fuzzy If-then Rules In Computational Intelligence : Theory And Applications” Subjects and Themes:
- Subjects: ➤ Expert systems (Computer science) - Fuzzy systems - Computational intelligence
Edition Identifiers:
- Internet Archive ID: fuzzyifthenrules0000unse
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The book is available for download in "texts" format, the size of the file-s is: 1007.08 Mbs, the file-s for this book were downloaded 26 times, the file-s went public at Sat May 28 2022.
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2Computational Intelligence In Optimization : Applications And Implementations
xx, 412 p. : 24 cm
“Computational Intelligence In Optimization : Applications And Implementations” Metadata:
- Title: ➤ Computational Intelligence In Optimization : Applications And Implementations
- Language: English
“Computational Intelligence In Optimization : Applications And Implementations” Subjects and Themes:
- Subjects: Computational intelligence - Mathematical optimization - Optimierungsproblem - Soft Computing
Edition Identifiers:
- Internet Archive ID: computationalint0000unse_h7t9
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The book is available for download in "texts" format, the size of the file-s is: 941.61 Mbs, the file-s for this book were downloaded 27 times, the file-s went public at Tue Sep 07 2021.
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3Computational Intelligence : Theory And Applications : International Conference, 6th Fuzzy Days, Dortmund, Germany, May 25-28, 1999 : Proceedings
By Dortmunder Fuzzy-Tage (6th : 1999)
xx, 412 p. : 24 cm
“Computational Intelligence : Theory And Applications : International Conference, 6th Fuzzy Days, Dortmund, Germany, May 25-28, 1999 : Proceedings” Metadata:
- Title: ➤ Computational Intelligence : Theory And Applications : International Conference, 6th Fuzzy Days, Dortmund, Germany, May 25-28, 1999 : Proceedings
- Author: ➤ Dortmunder Fuzzy-Tage (6th : 1999)
- Language: English
“Computational Intelligence : Theory And Applications : International Conference, 6th Fuzzy Days, Dortmund, Germany, May 25-28, 1999 : Proceedings” Subjects and Themes:
Edition Identifiers:
- Internet Archive ID: computationalint0000dort
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The book is available for download in "texts" format, the size of the file-s is: 1480.06 Mbs, the file-s for this book were downloaded 14 times, the file-s went public at Sat Feb 06 2021.
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4Computational Intelligence, Theory And Applications : International Conference 8th Fuzzy Days In Dortmund, Germany, Sept. 29 - Oct. 01, 2004 ; Proceedings
xx, 412 p. : 24 cm
“Computational Intelligence, Theory And Applications : International Conference 8th Fuzzy Days In Dortmund, Germany, Sept. 29 - Oct. 01, 2004 ; Proceedings” Metadata:
- Title: ➤ Computational Intelligence, Theory And Applications : International Conference 8th Fuzzy Days In Dortmund, Germany, Sept. 29 - Oct. 01, 2004 ; Proceedings
- Language: English
“Computational Intelligence, Theory And Applications : International Conference 8th Fuzzy Days In Dortmund, Germany, Sept. 29 - Oct. 01, 2004 ; Proceedings” Subjects and Themes:
- Subjects: ➤ Computational intelligence -- Congresses - Fuzzy logic -- Congresses - COMPUTERS -- Enterprise Applications -- Business Intelligence Tools - COMPUTERS -- Intelligence (AI) & Semantics - Fuzzy logic - Computational intelligence - Ingénierie
Edition Identifiers:
- Internet Archive ID: computationalint0000unse_d9q3
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The book is available for download in "texts" format, the size of the file-s is: 1672.70 Mbs, the file-s for this book were downloaded 28 times, the file-s went public at Mon Oct 12 2020.
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5Practical Hydroinformatics: Computational Intelligence And Technological Developments In Water Applications
By Robert J. Abrahart, Linda M. See and Dimitri P. Solomatine
xx, 412 p. : 24 cm
“Practical Hydroinformatics: Computational Intelligence And Technological Developments In Water Applications” Metadata:
- Title: ➤ Practical Hydroinformatics: Computational Intelligence And Technological Developments In Water Applications
- Authors: Robert J. AbrahartLinda M. SeeDimitri P. Solomatine
- Language: English
Edition Identifiers:
- Internet Archive ID: practicalhydroin0000robe
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 848.11 Mbs, the file-s for this book were downloaded 11 times, the file-s went public at Thu Jan 18 2024.
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6The Computational Theory Of Intelligence: Applications To Genetic Programming And Turing Machines
By Daniel Kovach
In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.
“The Computational Theory Of Intelligence: Applications To Genetic Programming And Turing Machines” Metadata:
- Title: ➤ The Computational Theory Of Intelligence: Applications To Genetic Programming And Turing Machines
- Author: Daniel Kovach
“The Computational Theory Of Intelligence: Applications To Genetic Programming And Turing Machines” Subjects and Themes:
Edition Identifiers:
- Internet Archive ID: arxiv-1412.6144
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 0.50 Mbs, the file-s for this book were downloaded 31 times, the file-s went public at Sat Jun 30 2018.
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7Computational Intelligence In Time Series Forecasting : Theory And Engineering Applications
By Palit, Ajoy K
In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.
“Computational Intelligence In Time Series Forecasting : Theory And Engineering Applications” Metadata:
- Title: ➤ Computational Intelligence In Time Series Forecasting : Theory And Engineering Applications
- Author: Palit, Ajoy K
- Language: English
“Computational Intelligence In Time Series Forecasting : Theory And Engineering Applications” Subjects and Themes:
Edition Identifiers:
- Internet Archive ID: computationalint0000pali
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 988.60 Mbs, the file-s for this book were downloaded 35 times, the file-s went public at Mon Dec 12 2022.
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8Computational Intelligence And Its Applications : Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques
In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.
“Computational Intelligence And Its Applications : Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques” Metadata:
- Title: ➤ Computational Intelligence And Its Applications : Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques
- Language: English
“Computational Intelligence And Its Applications : Evolutionary Computation, Fuzzy Logic, Neural Network And Support Vector Machine Techniques” Subjects and Themes:
- Subjects: Computational intelligence - Evolutionary computation - Fuzzy logic - Support vector machines - Neural networks (Computer science)
Edition Identifiers:
- Internet Archive ID: computationalint0000unse_m6b3
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 679.27 Mbs, the file-s for this book were downloaded 29 times, the file-s went public at Sat Jun 03 2023.
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9Computational Intelligence Paradigms : Theory And Applications Using MATLAB
By Sumathi, S., 1968-
In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.
“Computational Intelligence Paradigms : Theory And Applications Using MATLAB” Metadata:
- Title: ➤ Computational Intelligence Paradigms : Theory And Applications Using MATLAB
- Author: Sumathi, S., 1968-
- Language: English
“Computational Intelligence Paradigms : Theory And Applications Using MATLAB” Subjects and Themes:
- Subjects: MATLAB - Computational intelligence
Edition Identifiers:
- Internet Archive ID: computationalint0000suma
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 1381.93 Mbs, the file-s for this book were downloaded 22 times, the file-s went public at Thu Oct 21 2021.
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10Computational Intellingence [i.e. Intelligence] : Principles, Techniques, And Applications
By Konar, Amit
In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.
“Computational Intellingence [i.e. Intelligence] : Principles, Techniques, And Applications” Metadata:
- Title: ➤ Computational Intellingence [i.e. Intelligence] : Principles, Techniques, And Applications
- Author: Konar, Amit
- Language: English
“Computational Intellingence [i.e. Intelligence] : Principles, Techniques, And Applications” Subjects and Themes:
- Subjects: ➤ Computational intelligence - Soft computing - Intelligence informatique - Informatique douce - Ingénierie - Ingenierie
Edition Identifiers:
- Internet Archive ID: computationalint0000kona
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 1084.73 Mbs, the file-s for this book were downloaded 129 times, the file-s went public at Sat May 09 2020.
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11Business Applications And Computational Intelligence
In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.
“Business Applications And Computational Intelligence” Metadata:
- Title: ➤ Business Applications And Computational Intelligence
- Language: English
“Business Applications And Computational Intelligence” Subjects and Themes:
Edition Identifiers:
- Internet Archive ID: businessapplicat0000unse
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 997.78 Mbs, the file-s for this book were downloaded 22 times, the file-s went public at Tue Jan 14 2020.
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12Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011 : Proceedings
By ICCCI (Conference) (3rd : 2011 : Gdynia, Poland)
In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.
“Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011 : Proceedings” Metadata:
- Title: ➤ Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011 : Proceedings
- Author: ➤ ICCCI (Conference) (3rd : 2011 : Gdynia, Poland)
- Language: English
“Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, September 21-23, 2011 : Proceedings” Subjects and Themes:
- Subjects: ➤ Expert systems (Computer science) -- Congresses - Intelligent agents (Computer software) -- Congresses - Artificial intelligence -- Congresses - Semantic Web -- Congresses - Human-computer interaction -- Congresses - Collective intelligence - ICCCI
Edition Identifiers:
- Internet Archive ID: computationalcol0000iccc_p2d3
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 1207.40 Mbs, the file-s for this book were downloaded 7 times, the file-s went public at Mon Sep 25 2023.
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13Artificial Intelligence In The Petroleum Industry : Symbolic And Computational Applications
In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.
“Artificial Intelligence In The Petroleum Industry : Symbolic And Computational Applications” Metadata:
- Title: ➤ Artificial Intelligence In The Petroleum Industry : Symbolic And Computational Applications
- Language: English
“Artificial Intelligence In The Petroleum Industry : Symbolic And Computational Applications” Subjects and Themes:
- Subjects: ➤ Artificial intelligence - Petroleum -- Prospecting -- Data processing - Intelligence artificielle - Pétrole -- Prospection -- Informatique - Petrole -- Prospection -- Informatique
Edition Identifiers:
- Internet Archive ID: artificialintell0000unse_j2m4
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 861.50 Mbs, the file-s for this book were downloaded 93 times, the file-s went public at Fri Jan 10 2020.
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ACS Encrypted EPUB - ACS Encrypted PDF - Abbyy GZ - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - EPUB - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - MARC - MARC Binary - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -
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14Computational Intelligence Systems And Applications : Neuro-fuzzy And Fuzzy Neural Synergisms
By Gorzałczany, Marian B
In this paper, we continue the efforts of the Computational Theory of Intelligence (CTI) by extending concepts to include computational processes in terms of Genetic Algorithms (GA's) and Turing Machines (TM's). Active, Passive, and Hybrid Computational Intelligence processes are also introduced and discussed. We consider the ramifications of the assumptions of CTI with regard to the qualities of reproduction and virility. Applications to Biology, Computer Science and Cyber Security are also discussed.
“Computational Intelligence Systems And Applications : Neuro-fuzzy And Fuzzy Neural Synergisms” Metadata:
- Title: ➤ Computational Intelligence Systems And Applications : Neuro-fuzzy And Fuzzy Neural Synergisms
- Author: Gorzałczany, Marian B
- Language: English
“Computational Intelligence Systems And Applications : Neuro-fuzzy And Fuzzy Neural Synergisms” Subjects and Themes:
- Subjects: Computational intelligence - Soft computing - Fuzzy systems
Edition Identifiers:
- Internet Archive ID: computationalint0000gorz
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 1104.14 Mbs, the file-s for this book were downloaded 18 times, the file-s went public at Tue Jun 07 2022.
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ACS Encrypted PDF - AVIF Thumbnails ZIP - Cloth Cover Detection Log - DjVuTXT - Djvu XML - Dublin Core - EPUB - Item Tile - JPEG Thumb - JSON - LCP Encrypted EPUB - LCP Encrypted PDF - Log - MARC - MARC Binary - Metadata - OCR Page Index - OCR Search Text - PNG - Page Numbers JSON - RePublisher Final Processing Log - RePublisher Initial Processing Log - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - Title Page Detection Log - chOCR - hOCR -
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15Computational Intelligence Challenges And Applications On Large-Scale Astronomical Time Series Databases
By Pablo Huijse, Pablo A. Estevez, Pavlos Protopapas, Jose C. Principe and Pablo Zegers
Time-domain astronomy (TDA) is facing a paradigm shift caused by the exponential growth of the sample size, data complexity and data generation rates of new astronomical sky surveys. For example, the Large Synoptic Survey Telescope (LSST), which will begin operations in northern Chile in 2022, will generate a nearly 150 Petabyte imaging dataset of the southern hemisphere sky. The LSST will stream data at rates of 2 Terabytes per hour, effectively capturing an unprecedented movie of the sky. The LSST is expected not only to improve our understanding of time-varying astrophysical objects, but also to reveal a plethora of yet unknown faint and fast-varying phenomena. To cope with a change of paradigm to data-driven astronomy, the fields of astroinformatics and astrostatistics have been created recently. The new data-oriented paradigms for astronomy combine statistics, data mining, knowledge discovery, machine learning and computational intelligence, in order to provide the automated and robust methods needed for the rapid detection and classification of known astrophysical objects as well as the unsupervised characterization of novel phenomena. In this article we present an overview of machine learning and computational intelligence applications to TDA. Future big data challenges and new lines of research in TDA, focusing on the LSST, are identified and discussed from the viewpoint of computational intelligence/machine learning. Interdisciplinary collaboration will be required to cope with the challenges posed by the deluge of astronomical data coming from the LSST.
“Computational Intelligence Challenges And Applications On Large-Scale Astronomical Time Series Databases” Metadata:
- Title: ➤ Computational Intelligence Challenges And Applications On Large-Scale Astronomical Time Series Databases
- Authors: Pablo HuijsePablo A. EstevezPavlos ProtopapasJose C. PrincipePablo Zegers
- Language: English
“Computational Intelligence Challenges And Applications On Large-Scale Astronomical Time Series Databases” Subjects and Themes:
- Subjects: ➤ Instrumentation and Methods for Astrophysics - Computing Research Repository - Astrophysics - Learning
Edition Identifiers:
- Internet Archive ID: arxiv-1509.07823
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 15.97 Mbs, the file-s for this book were downloaded 58 times, the file-s went public at Thu Jun 28 2018.
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16Computational Neuroscience For Advancing Artificial Intelligence : Models, Methods And Applications
Time-domain astronomy (TDA) is facing a paradigm shift caused by the exponential growth of the sample size, data complexity and data generation rates of new astronomical sky surveys. For example, the Large Synoptic Survey Telescope (LSST), which will begin operations in northern Chile in 2022, will generate a nearly 150 Petabyte imaging dataset of the southern hemisphere sky. The LSST will stream data at rates of 2 Terabytes per hour, effectively capturing an unprecedented movie of the sky. The LSST is expected not only to improve our understanding of time-varying astrophysical objects, but also to reveal a plethora of yet unknown faint and fast-varying phenomena. To cope with a change of paradigm to data-driven astronomy, the fields of astroinformatics and astrostatistics have been created recently. The new data-oriented paradigms for astronomy combine statistics, data mining, knowledge discovery, machine learning and computational intelligence, in order to provide the automated and robust methods needed for the rapid detection and classification of known astrophysical objects as well as the unsupervised characterization of novel phenomena. In this article we present an overview of machine learning and computational intelligence applications to TDA. Future big data challenges and new lines of research in TDA, focusing on the LSST, are identified and discussed from the viewpoint of computational intelligence/machine learning. Interdisciplinary collaboration will be required to cope with the challenges posed by the deluge of astronomical data coming from the LSST.
“Computational Neuroscience For Advancing Artificial Intelligence : Models, Methods And Applications” Metadata:
- Title: ➤ Computational Neuroscience For Advancing Artificial Intelligence : Models, Methods And Applications
- Language: English
“Computational Neuroscience For Advancing Artificial Intelligence : Models, Methods And Applications” Subjects and Themes:
- Subjects: ➤ Computational neuroscience - Neurosciences -- Mathematical models - Artificial intelligence
Edition Identifiers:
- Internet Archive ID: computationalneu0000unse_h6j6
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17Computational Intelligence And Applications
Time-domain astronomy (TDA) is facing a paradigm shift caused by the exponential growth of the sample size, data complexity and data generation rates of new astronomical sky surveys. For example, the Large Synoptic Survey Telescope (LSST), which will begin operations in northern Chile in 2022, will generate a nearly 150 Petabyte imaging dataset of the southern hemisphere sky. The LSST will stream data at rates of 2 Terabytes per hour, effectively capturing an unprecedented movie of the sky. The LSST is expected not only to improve our understanding of time-varying astrophysical objects, but also to reveal a plethora of yet unknown faint and fast-varying phenomena. To cope with a change of paradigm to data-driven astronomy, the fields of astroinformatics and astrostatistics have been created recently. The new data-oriented paradigms for astronomy combine statistics, data mining, knowledge discovery, machine learning and computational intelligence, in order to provide the automated and robust methods needed for the rapid detection and classification of known astrophysical objects as well as the unsupervised characterization of novel phenomena. In this article we present an overview of machine learning and computational intelligence applications to TDA. Future big data challenges and new lines of research in TDA, focusing on the LSST, are identified and discussed from the viewpoint of computational intelligence/machine learning. Interdisciplinary collaboration will be required to cope with the challenges posed by the deluge of astronomical data coming from the LSST.
“Computational Intelligence And Applications” Metadata:
- Title: ➤ Computational Intelligence And Applications
- Language: English
“Computational Intelligence And Applications” Subjects and Themes:
- Subjects: ➤ Computational intelligence - Computational intelligence -- Industrial applications - Neural networks (Computer science) -- Case studies
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- Internet Archive ID: computationalint0000unse_e2a9
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18DTIC ADA571435: Spatial-Temporal Reasoning Applications Of Computational Intelligence In The Game Of Go And Computer Networks
By Defense Technical Information Center
Spatial-temporal reasoning is the ability to reason with spatial images or information about space over time. In this dissertation, computational intelligence techniques are applied to computer Go and computer network applications. Among four experiments, the first three are related to the game of Go, and the last one concerns the routing problem in computer networks. The first experiment represents the first training of a modified cellular simultaneous recurrent network (CSRN) trained with cellular particle swarm optimization (PSO). Another contribution is the development of a comprehensive theoretical study of a 2x2 Go research platform with a certified 5 dan Go expert. The proposed architecture successfully trains a 2x2 game tree. The contribution of the second experiment is the development of a computational intelligence algorithm called collective cooperative learning (CCL). CCL learns the group size of Go stones on a Go board with zero knowledge by communicating only with the immediate neighbors. An analysis determines the lower bound of a design parameter that guarantees a solution. The contribution of the third experiment is the proposal of a unified system architecture for a Go robot. A prototype Go robot is implemented for the first time in the literature. The last experiment tackles a disruption-tolerant routing problem for a network suffering from link disruption. This experiment represents the first time that the disruption-tolerant routing problem has been formulated with a Markov Decision Process. In addition, the packet delivery rate has been improved under a range of link disruption levels via a reinforcement learning approach.
“DTIC ADA571435: Spatial-Temporal Reasoning Applications Of Computational Intelligence In The Game Of Go And Computer Networks” Metadata:
- Title: ➤ DTIC ADA571435: Spatial-Temporal Reasoning Applications Of Computational Intelligence In The Game Of Go And Computer Networks
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA571435: Spatial-Temporal Reasoning Applications Of Computational Intelligence In The Game Of Go And Computer Networks” Subjects and Themes:
- Subjects: ➤ DTIC Archive - MISSOURI UNIV OF SCIENCE AND TECHNOLOGY ROLLA - *COMPUTER NETWORKS - *REASONING - ALGORITHMS - ARTIFICIAL INTELLIGENCE - COMPUTER APPLICATIONS - COMPUTER GAMES - DECISION MAKING - GAME THEORY - LEARNING - MARKOV PROCESSES - OPTIMIZATION - THESES
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- Internet Archive ID: DTIC_ADA571435
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19Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, Septemer 21-23, 2011 : Proceedings, Part I
By ICCCI 2011 (2011 : Gdynia, Poland)
Spatial-temporal reasoning is the ability to reason with spatial images or information about space over time. In this dissertation, computational intelligence techniques are applied to computer Go and computer network applications. Among four experiments, the first three are related to the game of Go, and the last one concerns the routing problem in computer networks. The first experiment represents the first training of a modified cellular simultaneous recurrent network (CSRN) trained with cellular particle swarm optimization (PSO). Another contribution is the development of a comprehensive theoretical study of a 2x2 Go research platform with a certified 5 dan Go expert. The proposed architecture successfully trains a 2x2 game tree. The contribution of the second experiment is the development of a computational intelligence algorithm called collective cooperative learning (CCL). CCL learns the group size of Go stones on a Go board with zero knowledge by communicating only with the immediate neighbors. An analysis determines the lower bound of a design parameter that guarantees a solution. The contribution of the third experiment is the proposal of a unified system architecture for a Go robot. A prototype Go robot is implemented for the first time in the literature. The last experiment tackles a disruption-tolerant routing problem for a network suffering from link disruption. This experiment represents the first time that the disruption-tolerant routing problem has been formulated with a Markov Decision Process. In addition, the packet delivery rate has been improved under a range of link disruption levels via a reinforcement learning approach.
“Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, Septemer 21-23, 2011 : Proceedings, Part I” Metadata:
- Title: ➤ Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, Septemer 21-23, 2011 : Proceedings, Part I
- Author: ➤ ICCCI 2011 (2011 : Gdynia, Poland)
- Language: English
“Computational Collective Intelligence : Technologies And Applications : Third International Conference, ICCCI 2011, Gdynia, Poland, Septemer 21-23, 2011 : Proceedings, Part I” Subjects and Themes:
- Subjects: ➤ Computational intelligence -- Congresses - Semantic Web -- Congresses - Social networks -- Congresses - Intelligent agents (Computer software) -- Congresses
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- Internet Archive ID: computationalcol0000iccc
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20Advanced Applications Of Fuzzy Systems And Computational Intelligence In Decision-Support Systems
This paper systematically explores cutting-edge fuzzy systems—such as Type-2, Pythagorean, and Neutrosophic sets—and computational frameworks like Granular Computing (GrC) and Z-numbers, aligning them with practical applications in intelligent systems. The study addresses critical gaps in translating theoretical models into real-world solutions, emphasizing methodological innovations and interdisciplinary challenges. Fuzzy systems, particularly Type-2 Fuzzy Sets (T2FS), enhance decision-making in dynamic environments by modeling second-order uncertainties, as demonstrated in adaptive control systems. Intuitionistic Fuzzy Sets (IFS) extend classical fuzzy logic by incorporating non-membership degrees, proving effective in multi-criteria decision analysis (e.g., sustainable supply chain management). Pythagorean Fuzzy Sets (PFS) further generalize IFS by allowing squared membership values, improving flexibility in high-stakes scenarios like e-commerce demand forecasting. Advanced extensions are analyzed for cybersecurity and crisis management applications, including Neutrosophic Sets (Handling indeterminacy) and soft sets (Managing incomplete data). In computational intelligence, GrC partitions data into hierarchical granules, enabling context-aware decisions in smart traffic systems. Z-numbers and D-numbers —tools for reliability-based uncertainty modeling—are evaluated for risk assessment in infrastructure projects, though their integration with Machine Learning (ML) remains underexplored. Hybrid models, such as Fuzzy-Genetic Algorithms (GAs), showcase practical benefits, reducing energy consumption in smart grids by 18. Methodological challenges include translating technical terms (e.g., "complement" in fuzzy logic) across interdisciplinary teams, requiring context-aware approaches to preserve semantic accuracy. Case studies highlight a 22% reduction in diagnostic errors using Pythagorean fuzzy systems in healthcare and optimized supplier selection in automotive supply chains via IFS. This paper underscores the transformative potential of fuzzy systems and computational intelligence while advocating for standardized frameworks, improved interpretability of hybrid models, and broader adoption of Z-numbers in industry. Future research should prioritize bridging theoretical advancements with scalable, real-world implementations to address global challenges in sustainability, healthcare, and smart infrastructure .
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- Title: ➤ Advanced Applications Of Fuzzy Systems And Computational Intelligence In Decision-Support Systems
“Advanced Applications Of Fuzzy Systems And Computational Intelligence In Decision-Support Systems” Subjects and Themes:
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- Internet Archive ID: ➤ httpsdoi.org10.22105scfa.v1i4.60
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Source: The Open Library
The Open Library Search Results
Available books for downloads and borrow from The Open Library
1Computational intelligence and applications

“Computational intelligence and applications” Metadata:
- Title: ➤ Computational intelligence and applications
- Language: English
- Number of Pages: Median: 369
- Publisher: Physica-Verlag
- Publish Date: 1999
- Publish Location: New York - Heidelberg
“Computational intelligence and applications” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - Case studies - Computational intelligence - Industrial applications
Edition Identifiers:
- The Open Library ID: OL384574M
- Library of Congress Control Number (LCCN): 98047145
- All ISBNs: 9783790811612 - 3790811610
Access and General Info:
- First Year Published: 1999
- Is Full Text Available: Yes
- Is The Book Public: No
- Access Status: Borrowable
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2Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry
By M. Catherine Majumdar

“Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry” Metadata:
- Title: ➤ Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry
- Author: M. Catherine Majumdar
- Language: English
- Number of Pages: Median: 910
- Publisher: Springer
- Publish Date: 1988
“Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry” Subjects and Themes:
- Subjects: ➤ Artificial intelligence - Nuclear engineering, data processing - Nuclear industry - Congresses - Data processing - Industrial applications
Edition Identifiers:
- The Open Library ID: OL10323986M
- Online Computer Library Center (OCLC) ID: 17731705
- Library of Congress Control Number (LCCN): 88009396
- All ISBNs: 0306429020 - 9780306429026
Access and General Info:
- First Year Published: 1988
- Is Full Text Available: Yes
- Is The Book Public: No
- Access Status: Borrowable
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