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Hybrid Granular Fuzzy-Neural Learners Engineering: Theory and Practice

Mokhtar Beldjehem

ISBN 10: 3659137537 / ISBN 13: 9783659137532
Published by LAP LAMBERT Academic Publishing
New Condition: New Paperback
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Paperback. 244 pages. Dimensions: 8.7in. x 5.9in. x 0.6in.The purpose of the book is to illustrate the conception, the construction and use of hybrid granular Min-Max fuzzy-neural relational learners in a wide spectrum of practical applications ranging from handwriting recognition, vision engineering, medical diagnosis, to software quality prediction and understanding in software engineering. The aspects of verification and validation (V and V) are covered using a theory of generalization based on value approximation. The granular soft computing methods proposed and employed are sufficiently mature (in one case approaching international standards) that basic tutorial material is not included if readily accessible elsewhere. It is hoped that the reader will gain insight into the practice of hybrid granular soft computing methods as well as motivation for further study of their theoretical foundations. The potential for such a hybrid methodology holds promise in the software industry. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783659137532

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Bibliographic Details

Title: Hybrid Granular Fuzzy-Neural Learners ...

Publisher: LAP LAMBERT Academic Publishing

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

The purpose of the book is to illustrate the conception, the construction and use of hybrid granular Min-Max fuzzy-neural relational learners in a wide spectrum of practical applications ranging from handwriting recognition, vision engineering, medical diagnosis, to software quality prediction and understanding in software engineering. The aspects of verification and validation (V&V) are covered using a theory of generalization based on value approximation. The granular soft computing methods proposed and employed are sufficiently mature (in one case approaching international standards) that basic tutorial material is not included if readily accessible elsewhere. It is hoped that the reader will gain insight into the practice of hybrid granular soft computing methods as well as motivation for further study of their theoretical foundations. The potential for such a hybrid methodology holds promise in the software industry.

About the Author:

Mokhtar Beldjehem is a Software Engineer, Researcher and Consultant. He holds B.Sc, M.Sc., and Ph.D. all in Computer Science and Software Engineering. He has been intimately involved in Software Engineering Research and Soft Computing Research since 1989. His research interest is the interplay of Soft Computing and Software Engineering.

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