Soft Computing: Integrating Evolutionary, Neural, and Fuzzy Systems
β Scribed by Andrea Tettamanzi, Marco Tomassini (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2001
- Tongue
- English
- Leaves
- 334
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically.
This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as
β¦ Table of Contents
Front Matter....Pages i-xiii
Evolutionary Algorithms....Pages 1-48
Artificial Neural Networks....Pages 49-81
Fuzzy Systems....Pages 83-122
Evolutionary Design of Artificial Neural Networks....Pages 123-159
Evolutionary Design of Fuzzy Systems....Pages 161-199
Neuro-fuzzy Systems....Pages 201-231
Fuzzy Evolutionary Algorithms....Pages 233-248
Natural Parallel (Soft) Computing....Pages 249-288
Epilogue....Pages 289-293
Back Matter....Pages 295-328
β¦ Subjects
Mathematical Logic and Foundations;Artificial Intelligence (incl. Robotics);Computation by Abstract Devices;Algorithm Analysis and Problem Complexity;Mathematical Logic and Formal Languages;Complexity
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