Neural Networks

The textbook is designed for undergraduate course in Neural Networks for B.Tech., MCA & M.Sc. courses of various universities. The book presents the concepts in a clear and concise manner. It discusses the matter with suitable examples, review questions and multiple choice questions . The book focuses more on the application of theory through which students will be able to apply what they learn. The students will find this book as a helping tool to know about Neural Networks better.
Table Of Contents :
Chapter 1.    Introduction
Chapter 2.    Learning Process
Chapter 3.    Single Layer Perceptrons
Chapter 4.    Multi-layer Perceptrons
Chapter 5.    Back Propagation
Chapter 6.    Self Organization Maps
Chapter 7.    Neuro Dynamics
Chapter 8.    Hopfield Models

Reference
Index
About Author :
T. N. Shankar has obtained his post graduate (M. Sc. in Mathematics) from Ranchi University, and M.Tech. in Computer Science from Birla Institute of Technology, Mesra, Ranchi. He is interested in Network Security and Cryptography, Advanced Data Structure, Design Analysis & Algorithm, Compiler Design. At present he is working as Asst. Professor (Computer Science & Engg.) in GMR Institute of Technology, Rajam, Andhra Pradesh.UNN-9235