Neural Networks, 2nd Edition

  • 2h
  • T.N. Shankar
  • Laxmi Publications
  • 2022

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.

About the Author

T.N. Shankar : 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.

In this Book

  • Preface
  • Introduction
  • Learning Process
  • Single Layer Perceptrons
  • Multi-Layer Perceptrons
  • Back Propagation
  • Self Organization Maps
  • Neuro Dynamics
  • Hopfield Models
  • References