About the Book:
"Neural Networks and Fuzzy Logic." This comprehensive guide offers a systematic exploration of key concepts and methodologies in artificial neural networks, presenting a unified framework that demystifies complex theories for both students and practitioners. With a focus on the computational and learning capabilities of neural networks, this book seamlessly bridges theoretical foundations with practical applications, shedding light on empirical observations and heuristics. Perfect for undergraduates in electrical engineering, computer science, and engineering, this invaluable resource also caters to engineers, computer scientists, and researchers eager to delve deeper into the ever-evolving realm of artificial neural networks. Explore the limitless possibilities of neural networks and fuzzy logic in this enlightening and accessible read.
Contents:
1. Overview of Neural Networks
2. Fundamentals of Neural Networks
3. Feed forward Neural Networks
4. Neural Networks Architectures
5. Associative Memories
6. Introduction to Fuzzy Sets: Basic Definitions and Relations
7. Introduction to Fuzzy Logic
8. Fuzzy Control and Stability
8A. Advanced Process Control
8B. Fuzzy Logic Application
About the Authors:
Dr. C. Naga Bhaskar Ph.D is Professor and Principal, NRI Institute of Technology, Vijayawada. He has a vast teaching and research experience for the last 20 years. He has been awarded various National scholarships and fellowships during his academic and research career. He has large number of publications in International and National journals. He was awarded Best Teacher Award by JNTU Kakinada. He has guided several UG, PG and Ph.D Students. His areas of interest include Computational Fluid Mechanics.
G Vijay Kumar is Associate Professor and Head of Department of CSE in VKR, VNB and AGK Engineering College, Gudivada. He is pursuing Ph.D from SCSVMV University, Kanchi. He has 11 years of experience in teaching and research. He is a member of AMIETE, MISTE, MBMESI. He has been awarded as YOUNG TEACHER by AICTE, New Delhi under CAYT Scheme. He published papers in journal and conferences at National and International level. His areas of interest include Neural Networks, Computer Networks, Operating Systems, Communication Systems and Image Processing.
