Introduction to Neural Networks

We have great pleasure in presenting the First edition of this book. "INTRODUCTION TO NEURAL NETWORKS " is a core subject for B-Tech, BE, BSc, MCA, BCA and Diploma Students for interring the computer technology. This book is primarily intended to serve as a textbook in according with syllabus of Neural Networks offered by various universities in India as well as abroad AI & Neural Networks is a movement started sometime during the middle of the first decade of the new millennium; the movement is motivated by the idea that information processing can be done more efficiently on large farms of computing and storage systems accessible via the Internet The authors have identified the problems of the student "level" in this book, a significant effort has been made to find simple ways to develop theoretical as well as Practical aspects of Neural Networks.

Autorentext

Prof. Sanjay Tembhurne is a VLSi Design Engineer and has worked in diversified areas of teaching, design and administration. He has completed his M. Tech in VLSI and is currently pursuing Ph. D from RashtrasantTukdojiMaharaj Nagpur University. He has handled various projects in RF IC design and has also worked as layout designer.

Klappentext

We have great pleasure in presenting the First edition of this book. "INTRODUCTION TO NEURAL NETWORKS " is a core subject for B-Tech, BE, BSc, MCA, BCA and Diploma Students for interring the computer technology. This book is primarily intended to serve as a textbook in according with syllabus of Neural Networks offered by various universities in India as well as abroad AI & Neural Networks is a movement started sometime during the middle of the first decade of the new millennium; the movement is motivated by the idea that information processing can be done more efficiently on large farms of computing and storage systems accessible via the Internet The authors have identified the problems of the student "level" in this book, a significant effort has been made to find simple ways to develop theoretical as well as Practical aspects of Neural Networks.