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A Comparison Of Neural Networks And Fuzzy Logic Methods For Process Modeling by Krzysztof J. Cios
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1NASA Technical Reports Server (NTRS) 19960047083: A Comparison Of Neural Networks And Fuzzy Logic Methods For Process Modeling
By NASA Technical Reports Server (NTRS)
The goal of this work was to analyze the potential of neural networks and fuzzy logic methods to develop approximate response surfaces as process modeling, that is for mapping of input into output. Structural response was chosen as an example. Each of the many methods surveyed are explained and the results are presented. Future research directions are also discussed.
“NASA Technical Reports Server (NTRS) 19960047083: A Comparison Of Neural Networks And Fuzzy Logic Methods For Process Modeling” Metadata:
- Title: ➤ NASA Technical Reports Server (NTRS) 19960047083: A Comparison Of Neural Networks And Fuzzy Logic Methods For Process Modeling
- Author: ➤ NASA Technical Reports Server (NTRS)
- Language: English
“NASA Technical Reports Server (NTRS) 19960047083: A Comparison Of Neural Networks And Fuzzy Logic Methods For Process Modeling” Subjects and Themes:
- Subjects: ➤ NASA Technical Reports Server (NTRS) - NEURAL NETS - FUZZY SYSTEMS - GENETIC ALGORITHMS - PROBABILITY THEORY - SET THEORY - Cios, Krzysztof J. - Sala, Dorel M. - Berke, Laszlo
Edition Identifiers:
- Internet Archive ID: NASA_NTRS_Archive_19960047083
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 22.52 Mbs, the file-s for this book were downloaded 76 times, the file-s went public at Thu Oct 13 2016.
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