Soft Computing And Intelligent Systems Design: Theory, Tools And Applications, 1E

Karray

ISBN 10: 0321116178 / ISBN 13: 9780321116178

Published by Addison-Wesley, 2004

About this Item

International Edition, Paperback, Brand New,ISBN and Cover image may differ but contents similar to U.S. Edition. We ship from multiple Locations including India, We ship to PO , APO and FPO adresses in U.S.A. Choose Expedited Shipping for FASTER DELIVERY.Customer Satisfaction Guaranteed. 0.85.

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Bibliographic Details

• Title: Soft Computing And Intelligent Systems Design: Theory, Tools And Applications, 1E
• Publisher: Addison-Wesley
• Publication Date: 2004
• Language: English
• ISBN 10: 0321116178
• ISBN 13: 9780321116178
• Binding: Paperback
• Edition: International Edition
• Condition: NEW

About this title

Synopsis

 Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology, and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses, and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky's book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate. 

About the Author

Clarence de Silva is Professor of Mechanical Engineering at the University of British Columbia, Vancouver, Canada.