The book "Fundamental of Artificial Neural Network and Fuzzy Logic" has been written to solve engineering problems like process control, modelling communication, pattern recognition, speech recognition etc. This book is intended as an introduction to the subject of artificial neural network and fuzzy logic system, for readers at the junior or senior level as well as scientist and engineer. It consists of six chapters, at the end of each chapter exercises have been added to make the book complete in all respects. The presentation of the subject matter is very systematic and language of text is lucid, direct and easy to understand. About The Rajesh Kumar is presently H.O.D., Instrumentation and Control Engg., Graphic Era University, Dehradun. Before that, he was research scholar at I.I.T., Roorkee and Professor at Graphic Era Institute of Technology, Dehradun. He served as Lecturer, Electronics & Comm. Engg., at Aditya Institute of Technology, New Delhi. He obtained his University Diploma in Process Instrumentation Engg., from University of Roorkee (Presently I.I.T., Roorkee), M.Phil from University of Roorkee (Presently I.I.T., Roorkee), M.Tech., in Instrumentation from Regional Engg. College Kurukshetra, and Ph.D., from I.I.T., Roorkee. He has been involved in teaching in process control, industrial instrumentation design for seven years and research in application of Artificial Neural Network. Table Of 1. Artificial Neural Network and Fuzzy Preliminaries 2. Fundamental Models of Artificial Neural Network???? 3. Associated Models 4. Applications of Artificial Neural Network 5. Foundations of Fuzzy Approaches Systems and ITS Applications 6. Artificial Neural Network Controller Computer Science and I

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