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Soft Computing in Industrial Applications

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Soft Computing in Industrial Applications Synopsis

Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collection of papers that were presented at the 11th On-line World Conference on Soft Computing in Industrial Applications, held in September-October 2006. This carefully edited book provides a comprehensive overview of the recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization. The book is aimed at researchers and practitioners who are engaged in developing and applying intelligent systems principles to solving real-world problems. It is also suitable as wider reading for science and engineering postgraduate students.

About This Edition

ISBN: 9783540707042
Publication date:
Author: Ashraf Saad, Erel Avineri, Keshav Dahal, Muhammad Sarfraz, Rajkumar Roy
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 330 pages
Series: Advances in Intelligent and Soft Computing
Genres: Artificial intelligence
Applied mathematics
Maths for engineers