Neuro Fuzzy Systems, 2nd Edition

  • 3h 10m
  • Lamba, V.K.
  • Laxmi Publications
  • 2022

The book is an introduction to the field of fuzzy logic. It covers Approach to artificial intelligence, artificial neural network systems, fuzzy systems, hybrid intelligent systems. The book is also suitable as a self-study guide for non-computer science professionals. For them, the book provides access to the fuzzy systems. In fact, this book is aimed at a large professional audience: engineers and scientists, managers and businessmen, doctors and everyone who faces challenging problems and cannot solve them by using traditional approaches, everyone who wants to understand the tremendous achievements in fuzzy control systems. The book will help to develop a practical understanding of what fuzzy systems can and cannot do; you'll master all these key techniques:

  • Neural Networks, Genetic Algorithms
  • Fuzzy arithmetic
  • Membership functions
  • Fuzzy relation
  • Defuzzification
  • Fuzzy rule based & Inference
  • Fuzzy Control
  • ANFIS: Adaptive-Network-Based Fuzzy Inference System
  • Applications of fuzzy with Case Study Of...

About the Author

Lamba, V.K. : Lamba, V.K. was born on 17th Nov 1972. He is working at present as Astt. Professor at Haryana College of Technology, Kaithal. He did his M.Tech in Microelectronics from Guru Nanak Dev University, Amritsar, M.Sc in Physics from Punjab University, Chandigarh. He is presently working for doctoral thesis in Electronics and Communication, form Guru Nanak Dev University, Amritsar. He has served as a faculty member at BRCM, Bahal, as a Guest faculty at GJU University Hissar, Junior research fellow at national Aerospace Research Laboratory, Bangalore, and IIT Kharagpur. His area of interest includes Fuzzy systems, Nano-Modeling, Molecular & Organic Electronics, Quantum Physics. He has published more than twenty research papers in international and national journals and conferences. He is life member of many academic bodies and professional societies such as ISTE, EDA Teach forum, ACM, etc.

In this Book

  • Preface
  • Neural Networks
  • Introduction to Fuzzy....
  • Fuzzy Arithmetic
  • Fuzzy Relations
  • Membership Functions
  • Defuzzification
  • Extension Principle and Logic
  • Fuzzy Rule Based and Inference ......
  • Introduction to Fuzzy Control
  • Neuro Fuzzy System
  • ANFIS: Adaptive-Network-Based Fuzzy Inference System
  • Applications of Fuzzy
  • Case Study of....
  • Glossary
  • Bibliography