Hybrid Granular Fuzzy-Neural Learners Engineering: Theory and Practice: Soft Computing Everywhere

Beldjehem, Mokhtar

ISBN 10: 3659137537 / ISBN 13: 9783659137532

Editore: LAP LAMBERT Academic Publishing, 2013

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Codice articolo ERICA75836591375375

Dati bibliografici

• Titolo: Hybrid Granular Fuzzy-Neural Learners Engineering: Theory and Practice: Soft Computing Everywhere
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 3659137537
• ISBN 13: 9783659137532
• Rilegatura: Paperback
• Condizione: Like New
• Tipo di libro: book

Descrizione articolo

Riassunto

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.

L'autore

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.