Non-Linear Feedback Neural Networks Non-Linear Feedback Neural Networks

Non-Linear Feedback Neural Networks

VLSI Implementations and Applications

    • 87,99 €
    • 87,99 €

Publisher Description

This book aims to present a viable alternative to the Hopfield Neural Network (HNN) model for analog computation. It is well known that 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.

GENRE
Computing & Internet
RELEASED
2013
3 September
LANGUAGE
EN
English
LENGTH
223
Pages
PUBLISHER
Springer India
SIZE
4.5
MB