Soft Computing
Integrating Evolutionary, Neural, and Fuzzy Systems
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Author
Contributions
- Tomassini, Marco - Contributor
Publication
2001 - Springer Berlin Heidelberg, Berlin, Heidelberg, Germany
Language
English
Word Count
82,000 words, Guess
Page Count
328 pages
Physical Format
Electronic resource
Identifiers
- Internet Archivesoftcomputingint00tett
- ISBN-103642075835
- ISBN-103662043351
- ISBN-139783642075834
- ISBN-139783662043356
and 4 more
- OCLC Control Number851363708
- Better World Books9783662043356
- Better World Books9783642075834
- Open LibraryOL27088048M
Classifications
- DDC004.0151
- LCCQA75.5-76.95
- LCCQA1-939
Description
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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