Non-Linear Feedback Neural Networks - VLSI Implementations and Applications (Paperback, Softcover reprint of the original 1st ed. 2014)

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.

General

Imprint:	Springer, India, Private Ltd
Country of origin:	India
Series:	Studies in Computational Intelligence, 508
Release date:	September 2016
First published:	2014
Authors:	Mohd. Samar Ansari
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Paperback
Pages:	201
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-81-322-2896-7
Categories:	Books > Computing & IT > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Circuits & components
LSN:	81-322-2896-0
Barcode:	9788132228967

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