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Soft Computing

Soft Computing Integrating Evolutionary, Neural, and Fuzzy Systems

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Soft Computing

Integrating Evolutionary, Neural, and Fuzzy Systems

Andrea Tettamanzi | J. Janßen | Marco Tomassini

Mathematics / Logic

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

Publication Date: 07 September 2001
Publisher: Springer Berlin Heidelberg
Imprint: Springer
ISBN-13: 9783540422044
Format: Hardback
Page Count: 328

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