Soft Computing: Integrating Evolutionary, Neural, and Fuzzy System

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...

תיאור מלא

מידע ביבליוגרפי
מחבר ראשי: Andrea Tettamanzi
מחברים אחרים: Marco Tomassini
פורמט: Printed Book
יצא לאור: Berlin ; New York Springer 2001
נושאים:
Soft Computing
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100 |a  Andrea Tettamanzi 
245 |a Soft Computing: Integrating Evolutionary, Neural, and Fuzzy System 
260 |a Berlin ; New York   |b  Springer  |c 2001 
300 |a  xiii, 328 pages : illustrations ; 25 cm 
505 |a  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. 
520 |a 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 
650 |a Soft Computing 
700 |a Marco Tomassini 
942 |c BK 
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