Studies in Computational Intelligence: VLSI Implementations and Applications

Ansari, Mohd. Samar

This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known the standard HNN suffers from problems of convergence to local minima, and requirement of a large number of neurons and synaptic weights. Therefore, improved solutions are needed. The non-linear synapse neural network (NoSyNN) is one such possibility and is discussed in detail in this book. This book also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic programming. The material in the book is useful to students, researchers and academician working in the area of analog computation.

Details

Published by: Springer

Publication Date: 2013-09-16

Format: Hardcover

ISBN-13: 9788132215622

DOI: 10.1007/978-81-322-1563-9

Dimensions: 235cm x155cm

Pages: 201