Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Author: Nikola K. Kasabov
Publisher: Marcel Alencar
Total Pages: 581
Release: 1996
Genre: Artificial intelligence
ISBN: 0262112124

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Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI problems (pattern recognition, speech recognition, prediction, decision-making, game-playing) and provides illustrative examples. Includes applications in engineering, business and finance.


Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Language: en
Pages: 581
Authors: Nikola K. Kasabov
Categories: Artificial intelligence
Type: BOOK - Published: 1996 - Publisher: Marcel Alencar

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Combines the study of neural networks and fuzzy systems with symbolic artificial intelligence (AI) methods to build comprehensive AI systems. Describes major AI
Fuzzy Engineering Expert Systems with Neural Network Applications
Language: en
Pages: 313
Authors: Adedeji Bodunde Badiru
Categories: Computers
Type: BOOK - Published: 2002-10-08 - Publisher: John Wiley & Sons

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Provides an up-to-date integration of expert systems with fuzzy logic and neural networks. Includes coverage of simulation models not present in other books. Pr
Advances in Neural Networks, Fuzzy Systems and Artifical Intelligence
Language: en
Pages: 239
Authors: WSEAS (Organization)
Categories:
Type: BOOK - Published: 2014 - Publisher:

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Fuzzy Neural Intelligent Systems
Language: en
Pages: 383
Authors: Hongxing Li
Categories: Computers
Type: BOOK - Published: 2018-10-03 - Publisher: CRC Press

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Although fuzzy systems and neural networks are central to the field of soft computing, most research work has focused on the development of the theories, algori
Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms
Language: en
Pages: 366
Authors: Lakhmi C. Jain
Categories: Computers
Type: BOOK - Published: 2020-01-29 - Publisher: CRC Press

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Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing un