Ebook: Neuro-Fuzzy Architectures and Hybrid Learning

The main idea of this book is to present novel connectionist architectures of neuro-fuzzy systems, especially those based on the logical approach to fuzzy inference. In addition, hybrid learning methods are proposed to train the networks. The neuro-fuzzy architectures plus hybrid learning are considered as intelligent systems within the framework of computational and artificial intelligence. The book also provides an overview of fuzzy sets and systems, neural networks, learning algorithms (including genetic algorithms and clustering methods), as well as expert systems and perception-based systems which incorporates computing with words.

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The main idea of this book is to present novel connectionist architectures of neuro-fuzzy systems, especially those based on the logical approach to fuzzy inference. In addition, hybrid learning methods are proposed to train the networks. The neuro-fuzzy architectures plus hybrid learning are considered as intelligent systems within the framework of computational and artificial intelligence. The book also provides an overview of fuzzy sets and systems, neural networks, learning algorithms (including genetic algorithms and clustering methods), as well as expert systems and perception-based systems which incorporates computing with words.

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The main idea of this book is to present novel connectionist architectures of neuro-fuzzy systems, especially those based on the logical approach to fuzzy inference. In addition, hybrid learning methods are proposed to train the networks. The neuro-fuzzy architectures plus hybrid learning are considered as intelligent systems within the framework of computational and artificial intelligence. The book also provides an overview of fuzzy sets and systems, neural networks, learning algorithms (including genetic algorithms and clustering methods), as well as expert systems and perception-based systems which incorporates computing with words.
Content:
Front Matter....Pages i-xiii
Introduction....Pages 1-3
Description of Fuzzy Inference Systems....Pages 5-67
Neural Networks and Neuro-Fuzzy Systems....Pages 69-103
Neuro-Fuzzy Architectures Based on the Mamdani Approach....Pages 105-126
Neuro-Fuzzy Architectures Based on the Logical Approach....Pages 127-163
Hybrid Learning Methods....Pages 165-207
Intelligent Systems....Pages 209-228
Summary....Pages 229-231
Back Matter....Pages 233-288

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The main idea of this book is to present novel connectionist architectures of neuro-fuzzy systems, especially those based on the logical approach to fuzzy inference. In addition, hybrid learning methods are proposed to train the networks. The neuro-fuzzy architectures plus hybrid learning are considered as intelligent systems within the framework of computational and artificial intelligence. The book also provides an overview of fuzzy sets and systems, neural networks, learning algorithms (including genetic algorithms and clustering methods), as well as expert systems and perception-based systems which incorporates computing with words.
Content:
Front Matter....Pages i-xiii
Introduction....Pages 1-3
Description of Fuzzy Inference Systems....Pages 5-67
Neural Networks and Neuro-Fuzzy Systems....Pages 69-103
Neuro-Fuzzy Architectures Based on the Mamdani Approach....Pages 105-126
Neuro-Fuzzy Architectures Based on the Logical Approach....Pages 127-163
Hybrid Learning Methods....Pages 165-207
Intelligent Systems....Pages 209-228
Summary....Pages 229-231
Back Matter....Pages 233-288
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