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Compensatory Genetic Fuzzy Neural Networks and Their Applications (Series in Machine Perception and Artificial Intelligence) [Hardcover]

Yan-Qing Zhang (Author), Abraham Kandel (Author)

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Book Description

Series: Series in Machine Perception and Artificial Intelligence | Publication Date: November 1998

This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and other intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-date-level information processing. The book also proposes various novel soft computing techniques.

#outer_postBodyPS { display: none; } #psGradient { display: none; } #psPlaceHolder { display: none; } #psExpand { display: none; } This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and other intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-date-level information processing. The book also proposes various novel soft computing techniques.

Product Details

Hardcover: 186 pages
Publisher: World Scientific Pub Co Inc (November 1998)
Language: English
ISBN-10: 9810233493
ISBN-13: 978-9810233495
Product Dimensions: 8.9 x 6.3 x 0.7 inches
Shipping Weight: 15.5 ounces (View shipping rates and policies)
Amazon Best Sellers Rank: #5,149,538 in Books (See Top 100 in Books)

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Inside This Book (learn more)

First Sentence:
Hybrid intelligent systems are playing a more and more important role in a variety of applications of science and technology because they are built by merging different kinds of advanced techniques. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
fuzzy truth table, fuzzy moves, fuzzy reasoning methodology, sparse fuzzy rule base, crisp neural network, primary fuzzy sets, different global strategies, fuzzy games, soft computing system, given fuzzy rules, trapezoidal fuzzy set, genetic fuzzy neural network, nonlinear system modeling, data granularity, fuzzy reasoning methods, used fuzzy sets, game transformation, compensatory operations, fuzzy neurons, defuzzification techniques, output membership functions, fuzzy system, fuzzy neural networks, typical simulation results, compensatory strengths

Key Phrases - Capitalized Phrases (CAPs): (learn more)
Don't Move, The Fuzzy Reasoning Result According, Yin Fish

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Books on Related Topics | Concordance | Text Stats

Citations (learn more)

This book cites 28 books:

Theory of Moves by Steven J. Brams on page 127, and Back Matter
Hong Kong (Where We Live) by Donna Bailey in Front Matter
The Principles of Mathematical Analysis (International Series in Pure & Applied Mathematics) by Walter Rudin in Back Matter
An Introduction to Fuzzy Control by Dimiter Driankov in Back Matter
Machine Vision for Advanced Production by M. Pietikainen in Front Matter

See all 28 books this book cites

20 books cite this book:

Granular Computing: An Introduction (The Springer International Series in Engineering and Computer Science) by Andrzej Bargiela on page 324
Vision Interface: Real World Applications of Computer Vision (Machine Perception and Artificial Intelligence) by Mohamed Cheriet in Front Matter
New Approaches to Fuzzy Modeling and Control: Design and Analysis by Michael Margaliot in Front Matter
Multispectral Image Processing and Pattern Recognition (Series in Machine Perception and Artificial Intelligence, 44) (v. 44) by Jun Shen in Front Matter
Neuro-Fuzzy Architectures and Hybrid Learning (Studies in Fuzziness and Soft Computing) by Danuta Rutkowska in Back Matter

See all 20 books citing this book

Books on Related Topics (learn more)

Static and Dynamic Neural Networks by Madan M. Gupta

Discusses:

Intelligent Control Systems Using Soft Computing Methodologies by Ali Zilouchian

Discusses:

The Fuzzy Systems Handbook, Second Edition by Earl Cox

Discusses:

Fuzzy Neural Intelligent Systems by Hong-Xing Li

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