Rough-Neural Computing - Techniques for Computing with Words (Hardcover, 2004 ed.)


Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g., in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, and genetic algorithms. It is well understood now in the soft computing community that hybrid approaches combining various paradigms provide very promising attempts to solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neurocomputing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

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Product Description

Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g., in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, and genetic algorithms. It is well understood now in the soft computing community that hybrid approaches combining various paradigms provide very promising attempts to solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neurocomputing which is also related to the novel aspect of computing based on information granulation, in particular to computing with words. It provides foundational and methodological issues as well as applications in various fields.

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Product Details

General

Imprint

Springer-Verlag

Country of origin

Germany

Series

Cognitive Technologies

Release date

September 2003

Availability

Expected to ship within 12 - 17 working days

First published

September 2003

Editors

,

Dimensions

235 x 155 x 41mm (L x W x T)

Format

Hardcover

Pages

736

Edition

2004 ed.

ISBN-13

978-3-540-43059-9

Barcode

9783540430599

Categories

LSN

3-540-43059-8



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