Fuzzy Logic and Neural Networks: Basic Concepts and Applications - Tapa blanda

In this title, fuzzy logic and neural networks have been discussed in detail through illustrative examples, methods and generic applications. Extensive and carefully selected references is an invaluable resource for further study of fuzzy logic and neural networks. Each chapter is followed by a question bank which is intended to help in the preparation for external examination.

Chennakesava R. Alavala B.E., M.E., M.Tech., Ph.D. (Mech.), Ph.D. (CAD/CAM), is a Professor of Mechanical Engineering, Jawaharlal Nehru Technological University, Hyderabad. The author has published 102 technical papers worldwide. He is the recipient of ?best paper? awards nine times. He has successfully completed several R&D and consultancy projects. He has guided many research scholars for their Ph.D. He is a Governing Body Member for several engineering colleges in Andhra Pradesh. His research interests include Fuzzy Logic, Neural Networks, Genetics Algorithms, Finite Elements Methods, CAD/CAM, Robotics and Characterization of Composite Materials and Manufacturing Technologies.