Soft Computing : Integrating Evolutionary, Neural, and Fuzzy Systems /

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...

Full description

Bibliographic Details
Main Author: Tettamanzi, Andrea
Corporate Author: SpringerLink (Online service)
Other Authors: Tomassini, Marco
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2001.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
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.
Item Description:Electronic resource.
Physical Description:1 online resource (xiii, 328 pages)
ISBN:9783662043356 (electronic bk.)
3662043351 (electronic bk.)