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Neural Networks And Fuzzy Systems by Bart Kosko
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1Design And Implementation Of Intelligent Manufacturing Systems : From Expert Systems, Neural Networks, To Fuzzy Logic
“Design And Implementation Of Intelligent Manufacturing Systems : From Expert Systems, Neural Networks, To Fuzzy Logic” Metadata:
- Title: ➤ Design And Implementation Of Intelligent Manufacturing Systems : From Expert Systems, Neural Networks, To Fuzzy Logic
- Language: English
“Design And Implementation Of Intelligent Manufacturing Systems : From Expert Systems, Neural Networks, To Fuzzy Logic” Subjects and Themes:
- Subjects: ➤ CAD/CAM systems - Manufacturing processes -- Automation - Expert systems (Computer science) -- Industrial applications
Edition Identifiers:
- Internet Archive ID: designimplementa0000unse_v4w1
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The book is available for download in "texts" format, the size of the file-s is: 1038.20 Mbs, the file-s for this book were downloaded 25 times, the file-s went public at Mon Feb 08 2021.
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2Hybrid Intelligent Systems For Pattern Recognition Using Soft Computing : An Evolutionary Approach For Neural Networks And Fuzzy Systems
By Melin, Patricia, 1962-
“Hybrid Intelligent Systems For Pattern Recognition Using Soft Computing : An Evolutionary Approach For Neural Networks And Fuzzy Systems” Metadata:
- Title: ➤ Hybrid Intelligent Systems For Pattern Recognition Using Soft Computing : An Evolutionary Approach For Neural Networks And Fuzzy Systems
- Author: Melin, Patricia, 1962-
- Language: English
“Hybrid Intelligent Systems For Pattern Recognition Using Soft Computing : An Evolutionary Approach For Neural Networks And Fuzzy Systems” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - Soft computing - Pattern recognition systems - Fuzzy systems
Edition Identifiers:
- Internet Archive ID: hybridintelligen0000meli
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The book is available for download in "texts" format, the size of the file-s is: 815.08 Mbs, the file-s for this book were downloaded 17 times, the file-s went public at Tue Dec 13 2022.
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3Fuzzy Systems Neural Networks And Makov Switching AR Model For Prediction Of Exchange Rates
Many international agents (e.g. money managers, investment banks, investors, funds makers and others) are very concerned about predicted values of exchange rates because it often moves dustically and generally affects the profits. This paper forecasted the daily Bangladeshi and Canadian exchange rates for the period of October 1996 to January 2013. With attention paid to recently developed econometric noises, the widely‐used forecasting model the fuzzy extension of artificial neural network is considered and compared results with the Markov switching autoregressive forecasting model. Root mean square error and correlation coefficient are used as an evaluation measures. It has been found that the fuzzy extension of the artificial neural network model is a superior predictor compared to the other selected predictor for the Bangladeshi series and the reverse observed for the Canadian series. It is believed that the findings of this paper will be helpful for multinational organizations wanting to make wise policy about these two country’s exchange rates.
“Fuzzy Systems Neural Networks And Makov Switching AR Model For Prediction Of Exchange Rates” Metadata:
- Title: ➤ Fuzzy Systems Neural Networks And Makov Switching AR Model For Prediction Of Exchange Rates
- Language: English
“Fuzzy Systems Neural Networks And Makov Switching AR Model For Prediction Of Exchange Rates” Subjects and Themes:
- Subjects: ➤ Exchange Rate Dynamics - Time Series Prediction - Non‐Linearities - Econometric Noises - Aritificial Intelligence - Markov Switching Model
Edition Identifiers:
- Internet Archive ID: IJCSA7748
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The book is available for download in "texts" format, the size of the file-s is: 7.22 Mbs, the file-s for this book were downloaded 159 times, the file-s went public at Fri Jan 17 2014.
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4Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining And Complex Systems : Proceedings Of The Artificial Neural Networks In Engineering Conference (ANNIE '99), Held November 7-10, 1999, In St. Louis, Missouri, U.S.A.
By Artificial Neural Networks in Engineering Conference (9th 1999 St. Louis, Mo.)
Many international agents (e.g. money managers, investment banks, investors, funds makers and others) are very concerned about predicted values of exchange rates because it often moves dustically and generally affects the profits. This paper forecasted the daily Bangladeshi and Canadian exchange rates for the period of October 1996 to January 2013. With attention paid to recently developed econometric noises, the widely‐used forecasting model the fuzzy extension of artificial neural network is considered and compared results with the Markov switching autoregressive forecasting model. Root mean square error and correlation coefficient are used as an evaluation measures. It has been found that the fuzzy extension of the artificial neural network model is a superior predictor compared to the other selected predictor for the Bangladeshi series and the reverse observed for the Canadian series. It is believed that the findings of this paper will be helpful for multinational organizations wanting to make wise policy about these two country’s exchange rates.
“Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining And Complex Systems : Proceedings Of The Artificial Neural Networks In Engineering Conference (ANNIE '99), Held November 7-10, 1999, In St. Louis, Missouri, U.S.A.” Metadata:
- Title: ➤ Smart Engineering System Design: Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining And Complex Systems : Proceedings Of The Artificial Neural Networks In Engineering Conference (ANNIE '99), Held November 7-10, 1999, In St. Louis, Missouri, U.S.A.
- Author: ➤ Artificial Neural Networks in Engineering Conference (9th 1999 St. Louis, Mo.)
- Language: English
Edition Identifiers:
- Internet Archive ID: smartengineering0009arti
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 2053.12 Mbs, the file-s for this book were downloaded 5 times, the file-s went public at Wed Dec 06 2023.
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5Intelligent Engineering Systems Through Artificial Neural Networks. Volume 5, Fuzzy Logic And Evolutionary Programming : Proceedings Of The Artificial Neural Networks In Engineering (ANNIE '95) Conference, Held November 12-15, 1995, In St. Louis, Missouri, U.S.A.
By Artificial Neural Networks in Engineering Conference (1995 : Saint Louis, Mo.)
Many international agents (e.g. money managers, investment banks, investors, funds makers and others) are very concerned about predicted values of exchange rates because it often moves dustically and generally affects the profits. This paper forecasted the daily Bangladeshi and Canadian exchange rates for the period of October 1996 to January 2013. With attention paid to recently developed econometric noises, the widely‐used forecasting model the fuzzy extension of artificial neural network is considered and compared results with the Markov switching autoregressive forecasting model. Root mean square error and correlation coefficient are used as an evaluation measures. It has been found that the fuzzy extension of the artificial neural network model is a superior predictor compared to the other selected predictor for the Bangladeshi series and the reverse observed for the Canadian series. It is believed that the findings of this paper will be helpful for multinational organizations wanting to make wise policy about these two country’s exchange rates.
“Intelligent Engineering Systems Through Artificial Neural Networks. Volume 5, Fuzzy Logic And Evolutionary Programming : Proceedings Of The Artificial Neural Networks In Engineering (ANNIE '95) Conference, Held November 12-15, 1995, In St. Louis, Missouri, U.S.A.” Metadata:
- Title: ➤ Intelligent Engineering Systems Through Artificial Neural Networks. Volume 5, Fuzzy Logic And Evolutionary Programming : Proceedings Of The Artificial Neural Networks In Engineering (ANNIE '95) Conference, Held November 12-15, 1995, In St. Louis, Missouri, U.S.A.
- Author: ➤ Artificial Neural Networks in Engineering Conference (1995 : Saint Louis, Mo.)
- Language: English
“Intelligent Engineering Systems Through Artificial Neural Networks. Volume 5, Fuzzy Logic And Evolutionary Programming : Proceedings Of The Artificial Neural Networks In Engineering (ANNIE '95) Conference, Held November 12-15, 1995, In St. Louis, Missouri, U.S.A.” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) -- Congresses - Neural networks (Computer science) - Réseaux neuronaux (informatique) -- Congrès - Logique floue -- Congrès - Ordinateurs -- Programmation -- Congrès
Edition Identifiers:
- Internet Archive ID: intelligentengin0005arti
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The book is available for download in "texts" format, the size of the file-s is: 2403.13 Mbs, the file-s for this book were downloaded 18 times, the file-s went public at Wed May 11 2022.
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6Modular Neural Networks And Type-2 Fuzzy Systems For Pattern Recognition
By Melin, Patricia, 1962-
Many international agents (e.g. money managers, investment banks, investors, funds makers and others) are very concerned about predicted values of exchange rates because it often moves dustically and generally affects the profits. This paper forecasted the daily Bangladeshi and Canadian exchange rates for the period of October 1996 to January 2013. With attention paid to recently developed econometric noises, the widely‐used forecasting model the fuzzy extension of artificial neural network is considered and compared results with the Markov switching autoregressive forecasting model. Root mean square error and correlation coefficient are used as an evaluation measures. It has been found that the fuzzy extension of the artificial neural network model is a superior predictor compared to the other selected predictor for the Bangladeshi series and the reverse observed for the Canadian series. It is believed that the findings of this paper will be helpful for multinational organizations wanting to make wise policy about these two country’s exchange rates.
“Modular Neural Networks And Type-2 Fuzzy Systems For Pattern Recognition” Metadata:
- Title: ➤ Modular Neural Networks And Type-2 Fuzzy Systems For Pattern Recognition
- Author: Melin, Patricia, 1962-
- Language: English
“Modular Neural Networks And Type-2 Fuzzy Systems For Pattern Recognition” Subjects and Themes:
Edition Identifiers:
- Internet Archive ID: modularneuralnet0000meli
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The book is available for download in "texts" format, the size of the file-s is: 699.01 Mbs, the file-s for this book were downloaded 25 times, the file-s went public at Mon Dec 12 2022.
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7Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering
By Kasabov, Nikola K
Many international agents (e.g. money managers, investment banks, investors, funds makers and others) are very concerned about predicted values of exchange rates because it often moves dustically and generally affects the profits. This paper forecasted the daily Bangladeshi and Canadian exchange rates for the period of October 1996 to January 2013. With attention paid to recently developed econometric noises, the widely‐used forecasting model the fuzzy extension of artificial neural network is considered and compared results with the Markov switching autoregressive forecasting model. Root mean square error and correlation coefficient are used as an evaluation measures. It has been found that the fuzzy extension of the artificial neural network model is a superior predictor compared to the other selected predictor for the Bangladeshi series and the reverse observed for the Canadian series. It is believed that the findings of this paper will be helpful for multinational organizations wanting to make wise policy about these two country’s exchange rates.
“Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering” Metadata:
- Title: ➤ Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering
- Author: Kasabov, Nikola K
- Language: English
“Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering” Subjects and Themes:
- Subjects: ➤ Expert systems (Computer science) - Neural networks (Computer science) - Fuzzy systems - Artificial intelligence
Edition Identifiers:
- Internet Archive ID: foundationsofneu0000kasa
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 932.94 Mbs, the file-s for this book were downloaded 50 times, the file-s went public at Mon Nov 25 2019.
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8Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering
By Kasabov, Nikola K
Many international agents (e.g. money managers, investment banks, investors, funds makers and others) are very concerned about predicted values of exchange rates because it often moves dustically and generally affects the profits. This paper forecasted the daily Bangladeshi and Canadian exchange rates for the period of October 1996 to January 2013. With attention paid to recently developed econometric noises, the widely‐used forecasting model the fuzzy extension of artificial neural network is considered and compared results with the Markov switching autoregressive forecasting model. Root mean square error and correlation coefficient are used as an evaluation measures. It has been found that the fuzzy extension of the artificial neural network model is a superior predictor compared to the other selected predictor for the Bangladeshi series and the reverse observed for the Canadian series. It is believed that the findings of this paper will be helpful for multinational organizations wanting to make wise policy about these two country’s exchange rates.
“Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering” Metadata:
- Title: ➤ Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering
- Author: Kasabov, Nikola K
- Language: English
“Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering” Subjects and Themes:
- Subjects: ➤ COMPUTERS / Intelligence (AI) & Semantics - Expert systems (Computer science) - Neural networks (Computer science) - Fuzzy systems - Artificial intelligence - Systèmes experts (Informatique) - Réseaux neuronaux (Informatique) - Systèmes flous - Intelligence artificielle - COMPUTERS - Expertsystemen - Fuzzy logic - Neurale netwerken - Kunstmatige intelligentie - Redes neuronales (Computación) - Sistemas difusos - Inteligencia artificial
Edition Identifiers:
- Internet Archive ID: Foundation_00_Kasa
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The book is available for download in "texts" format, the size of the file-s is: 840.72 Mbs, the file-s for this book were downloaded 166 times, the file-s went public at Fri Nov 03 2017.
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9Applications And Science Of Neural Networks, Fuzzy Systems, And Evolutionary Computation V : 9-10 July, 2002, Seattle, Washington, USA
Many international agents (e.g. money managers, investment banks, investors, funds makers and others) are very concerned about predicted values of exchange rates because it often moves dustically and generally affects the profits. This paper forecasted the daily Bangladeshi and Canadian exchange rates for the period of October 1996 to January 2013. With attention paid to recently developed econometric noises, the widely‐used forecasting model the fuzzy extension of artificial neural network is considered and compared results with the Markov switching autoregressive forecasting model. Root mean square error and correlation coefficient are used as an evaluation measures. It has been found that the fuzzy extension of the artificial neural network model is a superior predictor compared to the other selected predictor for the Bangladeshi series and the reverse observed for the Canadian series. It is believed that the findings of this paper will be helpful for multinational organizations wanting to make wise policy about these two country’s exchange rates.
“Applications And Science Of Neural Networks, Fuzzy Systems, And Evolutionary Computation V : 9-10 July, 2002, Seattle, Washington, USA” Metadata:
- Title: ➤ Applications And Science Of Neural Networks, Fuzzy Systems, And Evolutionary Computation V : 9-10 July, 2002, Seattle, Washington, USA
- Language: English
“Applications And Science Of Neural Networks, Fuzzy Systems, And Evolutionary Computation V : 9-10 July, 2002, Seattle, Washington, USA” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) -- Congresses - Soft computing -- Industrial applications -- Congresses - Fuzzy systems -- Industrial applications -- Congresses - Evolutionary computation -- Congresses
Edition Identifiers:
- Internet Archive ID: applicationsscie4787unse
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The book is available for download in "texts" format, the size of the file-s is: 788.01 Mbs, the file-s for this book were downloaded 16 times, the file-s went public at Fri Jun 23 2023.
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10Ninth Workshop On Virtual Intelligence/Dynamic Neural Networks : Academic/industrial/NASA/defense Technical Interchange And Tutorials : International Conferences On Virtual Intelligence/dynamic Neural Networks--neural Networks, Fuzzy Systems, Evolutionary Systems, And Virtual Reality/pulse Coupled Neural Networks, 1998
By Workshop on Virtual Intelligence/Dynamic Neural Networks (9th : 1998 : Stockholm, Sweden)
Many international agents (e.g. money managers, investment banks, investors, funds makers and others) are very concerned about predicted values of exchange rates because it often moves dustically and generally affects the profits. This paper forecasted the daily Bangladeshi and Canadian exchange rates for the period of October 1996 to January 2013. With attention paid to recently developed econometric noises, the widely‐used forecasting model the fuzzy extension of artificial neural network is considered and compared results with the Markov switching autoregressive forecasting model. Root mean square error and correlation coefficient are used as an evaluation measures. It has been found that the fuzzy extension of the artificial neural network model is a superior predictor compared to the other selected predictor for the Bangladeshi series and the reverse observed for the Canadian series. It is believed that the findings of this paper will be helpful for multinational organizations wanting to make wise policy about these two country’s exchange rates.
“Ninth Workshop On Virtual Intelligence/Dynamic Neural Networks : Academic/industrial/NASA/defense Technical Interchange And Tutorials : International Conferences On Virtual Intelligence/dynamic Neural Networks--neural Networks, Fuzzy Systems, Evolutionary Systems, And Virtual Reality/pulse Coupled Neural Networks, 1998” Metadata:
- Title: ➤ Ninth Workshop On Virtual Intelligence/Dynamic Neural Networks : Academic/industrial/NASA/defense Technical Interchange And Tutorials : International Conferences On Virtual Intelligence/dynamic Neural Networks--neural Networks, Fuzzy Systems, Evolutionary Systems, And Virtual Reality/pulse Coupled Neural Networks, 1998
- Author: ➤ Workshop on Virtual Intelligence/Dynamic Neural Networks (9th : 1998 : Stockholm, Sweden)
- Language: English
“Ninth Workshop On Virtual Intelligence/Dynamic Neural Networks : Academic/industrial/NASA/defense Technical Interchange And Tutorials : International Conferences On Virtual Intelligence/dynamic Neural Networks--neural Networks, Fuzzy Systems, Evolutionary Systems, And Virtual Reality/pulse Coupled Neural Networks, 1998” Subjects and Themes:
- Subjects: ➤ Artificial intelligence -- Congresses - Artificial intelligence -- Industrial applications -- Congresses - Fuzzy systems -- Congresses - Neural networks (Computer science) -- Congresses - Virtual reality -- Congresses
Edition Identifiers:
- Internet Archive ID: ninthworkshoponv3728work
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 1312.63 Mbs, the file-s for this book were downloaded 8 times, the file-s went public at Mon Jun 12 2023.
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11Fundamentals Of Computational Intelligence : Neural Networks, Fuzzy Systems, And Evolutionary Computation
By Keller, James M., author
Many international agents (e.g. money managers, investment banks, investors, funds makers and others) are very concerned about predicted values of exchange rates because it often moves dustically and generally affects the profits. This paper forecasted the daily Bangladeshi and Canadian exchange rates for the period of October 1996 to January 2013. With attention paid to recently developed econometric noises, the widely‐used forecasting model the fuzzy extension of artificial neural network is considered and compared results with the Markov switching autoregressive forecasting model. Root mean square error and correlation coefficient are used as an evaluation measures. It has been found that the fuzzy extension of the artificial neural network model is a superior predictor compared to the other selected predictor for the Bangladeshi series and the reverse observed for the Canadian series. It is believed that the findings of this paper will be helpful for multinational organizations wanting to make wise policy about these two country’s exchange rates.
“Fundamentals Of Computational Intelligence : Neural Networks, Fuzzy Systems, And Evolutionary Computation” Metadata:
- Title: ➤ Fundamentals Of Computational Intelligence : Neural Networks, Fuzzy Systems, And Evolutionary Computation
- Author: Keller, James M., author
- Language: English
“Fundamentals Of Computational Intelligence : Neural Networks, Fuzzy Systems, And Evolutionary Computation” Subjects and Themes:
- Subjects: ➤ Expert systems (Computer science) - COMPUTERS -- General
Edition Identifiers:
- Internet Archive ID: fundamentalsofco0000kell_g8f8
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The book is available for download in "texts" format, the size of the file-s is: 926.54 Mbs, the file-s for this book were downloaded 113 times, the file-s went public at Mon Oct 18 2021.
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12Neural Networks And Fuzzy Systems : Theory And Applications
By Abe, Shigeo, 1947-
Many international agents (e.g. money managers, investment banks, investors, funds makers and others) are very concerned about predicted values of exchange rates because it often moves dustically and generally affects the profits. This paper forecasted the daily Bangladeshi and Canadian exchange rates for the period of October 1996 to January 2013. With attention paid to recently developed econometric noises, the widely‐used forecasting model the fuzzy extension of artificial neural network is considered and compared results with the Markov switching autoregressive forecasting model. Root mean square error and correlation coefficient are used as an evaluation measures. It has been found that the fuzzy extension of the artificial neural network model is a superior predictor compared to the other selected predictor for the Bangladeshi series and the reverse observed for the Canadian series. It is believed that the findings of this paper will be helpful for multinational organizations wanting to make wise policy about these two country’s exchange rates.
“Neural Networks And Fuzzy Systems : Theory And Applications” Metadata:
- Title: ➤ Neural Networks And Fuzzy Systems : Theory And Applications
- Author: Abe, Shigeo, 1947-
- Language: English
“Neural Networks And Fuzzy Systems : Theory And Applications” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) - Fuzzy systems
Edition Identifiers:
- Internet Archive ID: neuralnetworksfu0000abes
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 502.49 Mbs, the file-s for this book were downloaded 8 times, the file-s went public at Tue Oct 03 2023.
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13NASA Technical Reports Server (NTRS) 19910012475: Using Fuzzy Logic To Integrate Neural Networks And Knowledge-based Systems
By NASA Technical Reports Server (NTRS)
Outlined here is a novel hybrid architecture that uses fuzzy logic to integrate neural networks and knowledge-based systems. The author's approach offers important synergistic benefits to neural nets, approximate reasoning, and symbolic processing. Fuzzy inference rules extend symbolic systems with approximate reasoning capabilities, which are used for integrating and interpreting the outputs of neural networks. The symbolic system captures meta-level information about neural networks and defines its interaction with neural networks through a set of control tasks. Fuzzy action rules provide a robust mechanism for recognizing the situations in which neural networks require certain control actions. The neural nets, on the other hand, offer flexible classification and adaptive learning capabilities, which are crucial for dynamic and noisy environments. By combining neural nets and symbolic systems at their system levels through the use of fuzzy logic, the author's approach alleviates current difficulties in reconciling differences between low-level data processing mechanisms of neural nets and artificial intelligence systems.
“NASA Technical Reports Server (NTRS) 19910012475: Using Fuzzy Logic To Integrate Neural Networks And Knowledge-based Systems” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 19910012475: Using Fuzzy Logic To Integrate Neural Networks And Knowledge-based Systems
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19910012475: Using Fuzzy Logic To Integrate Neural Networks And Knowledge-based Systems” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - ARCHITECTURE (COMPUTERS) - DATA PROCESSING - EXPERT SYSTEMS - FUZZY SYSTEMS - KNOWLEDGE BASES (ARTIFICIAL INTELLIGENCE) - LOGIC CIRCUITS - NEURAL NETS - CLASSIFICATIONS - INFERENCE - Yen, John
Edition Identifiers:
- Internet Archive ID: NASA_NTRS_Archive_19910012475
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14Applications And Science Of Neural Networks, Fuzzy Systems, And Evolutionary Computation VI : 5-6 August, 2003, San Diego, California, USA
Outlined here is a novel hybrid architecture that uses fuzzy logic to integrate neural networks and knowledge-based systems. The author's approach offers important synergistic benefits to neural nets, approximate reasoning, and symbolic processing. Fuzzy inference rules extend symbolic systems with approximate reasoning capabilities, which are used for integrating and interpreting the outputs of neural networks. The symbolic system captures meta-level information about neural networks and defines its interaction with neural networks through a set of control tasks. Fuzzy action rules provide a robust mechanism for recognizing the situations in which neural networks require certain control actions. The neural nets, on the other hand, offer flexible classification and adaptive learning capabilities, which are crucial for dynamic and noisy environments. By combining neural nets and symbolic systems at their system levels through the use of fuzzy logic, the author's approach alleviates current difficulties in reconciling differences between low-level data processing mechanisms of neural nets and artificial intelligence systems.
“Applications And Science Of Neural Networks, Fuzzy Systems, And Evolutionary Computation VI : 5-6 August, 2003, San Diego, California, USA” Metadata:
- Title: ➤ Applications And Science Of Neural Networks, Fuzzy Systems, And Evolutionary Computation VI : 5-6 August, 2003, San Diego, California, USA
- Language: English
“Applications And Science Of Neural Networks, Fuzzy Systems, And Evolutionary Computation VI : 5-6 August, 2003, San Diego, California, USA” Subjects and Themes:
- Subjects: ➤ Neural networks (Computer science) -- Congresses - Soft computing -- Industrial applications -- Congresses - Fuzzy systems -- Industrial applications -- Congresses - Evolutionary computation -- Congresses
Edition Identifiers:
- Internet Archive ID: applicationsscie5200unse
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15Neural Networks And Fuzzy Systems : A Dynamical Systems Approach To Machine Intelligence
By Kosko, Bart
Outlined here is a novel hybrid architecture that uses fuzzy logic to integrate neural networks and knowledge-based systems. The author's approach offers important synergistic benefits to neural nets, approximate reasoning, and symbolic processing. Fuzzy inference rules extend symbolic systems with approximate reasoning capabilities, which are used for integrating and interpreting the outputs of neural networks. The symbolic system captures meta-level information about neural networks and defines its interaction with neural networks through a set of control tasks. Fuzzy action rules provide a robust mechanism for recognizing the situations in which neural networks require certain control actions. The neural nets, on the other hand, offer flexible classification and adaptive learning capabilities, which are crucial for dynamic and noisy environments. By combining neural nets and symbolic systems at their system levels through the use of fuzzy logic, the author's approach alleviates current difficulties in reconciling differences between low-level data processing mechanisms of neural nets and artificial intelligence systems.
“Neural Networks And Fuzzy Systems : A Dynamical Systems Approach To Machine Intelligence” Metadata:
- Title: ➤ Neural Networks And Fuzzy Systems : A Dynamical Systems Approach To Machine Intelligence
- Author: Kosko, Bart
- Language: English
“Neural Networks And Fuzzy Systems : A Dynamical Systems Approach To Machine Intelligence” Subjects and Themes:
- Subjects: ➤ control theory - theory - systeemanalyse - systems - software engineering - Software, Application Programs - theorie - systems analysis - Réseaux neuronaux (informatique) - sense organs - systemen - problem solving - zintuigorganen - problem analysis - probleemoplossing - neurophysiology - probleemanalyse - nervous system - neurofysiologie - Artificial intelligence - Expert systems (Computer science) - Fuzzy systems - Neural networks (Computer science) - Intelligence artificielle - Systèmes experts (Informatique) - Systèmes flous - Réseaux neuronaux (Informatique) - 54.72 artificial intelligence - zenuwstelsel - software-ontwikkeling - information theory - Dynamisches System - mathematics - Neuronales Netz - Fuzzy-Logik - Expertsystemen - Kunstmatige intelligentie - Neurale netwerken - Fuzzy theorie - algorithms - algoritmen - wiskunde - information science - informatiewetenschap - control - controle - regeltheorie - computer software - informatietheorie - Systemes experts (Informatique) - Reseaux neuronaux (Informatique) - Systemes flous - Reseaux neuronaux (informatique)
Edition Identifiers:
- Internet Archive ID: neuralnetworksfu0000kosk
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Source: The Open Library
The Open Library Search Results
Available books for downloads and borrow from The Open Library
1Neural Networks and Fuzzy Systems
By Bart Kosko

“Neural Networks and Fuzzy Systems” Metadata:
- Title: ➤ Neural Networks and Fuzzy Systems
- Author: Bart Kosko
- Language: English
- Number of Pages: Median: 337
- Publisher: Prentice Hall - Prentice-Hall
- Publish Date: 1991 - 1992
- Publish Location: ➤ Englewood Ciffs, NJ - HemelHempstead
“Neural Networks and Fuzzy Systems” Subjects and Themes:
- Subjects: ➤ Expert systems (Computer science) - Neural networks (Computer science) - Fuzzy systems - Artificial intelligence - Fuzzy theorie - Systemes experts (Informatique) - Neurale netwerken - Expertsystemen - Neuronales Netz - 54.72 artificial intelligence - Reseaux neuronaux (informatique) - Dynamisches System - Kunstmatige intelligentie - Systemes flous - Fuzzy-Logik - Intelligence artificielle
Edition Identifiers:
- The Open Library ID: OL7342974M - OL1870049M - OL9297628M - OL15585450M
- Online Computer Library Center (OCLC) ID: 22983716
- Library of Congress Control Number (LCCN): 90028790
- All ISBNs: 0136114350 - 0136123341 - 9780136123347 - 9780136114352
Access and General Info:
- First Year Published: 1991
- Is Full Text Available: Yes
- Is The Book Public: No
- Access Status: Borrowable
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