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Soft Computing: Integrating Evolutionary, Neural, and Fuzzy System

By: Contributor(s): Material type: TextTextPublication details: Berlin ; New York Springer 2001Description: xiii, 328 pages : illustrations ; 25 cmISBN:
  • 9783540422044
Subject(s): DDC classification:
  • 006.3 TAT-S
Contents:
1. Evolutionary algorithms -- 2. Artificial neural networks -- 3. Fuzzy systems -- 4. Evolutionary design of artificial neural networks -- 5. Evolutionary design of fuzzy systems -- 6. Neuro-fuzzy systems -- 7. Fuzzy evolutionary algorithms -- 8. Natural parallel (soft) computing -- 9. Epilogue.
Summary: 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
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 006.3 TAT-S (Browse shelf(Opens below)) Available DCB1394

1. Evolutionary algorithms -- 2. Artificial neural networks -- 3. Fuzzy systems -- 4. Evolutionary design of artificial neural networks -- 5. Evolutionary design of fuzzy systems -- 6. Neuro-fuzzy systems -- 7. Fuzzy evolutionary algorithms -- 8. Natural parallel (soft) computing -- 9. Epilogue.

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

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