Rough-Neuro-Computing

ISBN 10: 3540430598 / ISBN 13: 9783540430599

Published by Springer, 2003

About this Item

No DJ. Non circulating ex University of California, Berkeley reference library book with some library markings. Light wear. Binding is tight, text clean. From the back cover: It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing 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.

Seller Inventory # mon0000018248

Bibliographic Details

• Title: Rough-Neuro-Computing
• Publisher: Springer
• Publication Date: 2003
• Language: English
• ISBN 10: 3540430598
• ISBN 13: 9783540430599
• Binding: Hardcover
• Condition: Very Good

About this title

Synopsis

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, genetic algorithms, and others.

It is well understood now in the soft computing community that hybrid approaches combining various paradigms are very promising approaches for solving complex problems. Exploiting the potential and strength of both neural networks and rough sets, this book is devoted to rough-neuro computing 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.

 

From the Back Cover

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.