Non-Linear Feedback Neural Networks: VLSI Implementations and Applications

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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, ...

Non-Linear Feedback Neural Networks: VLSI Implementations and Applications 2016, Springer

ISBN-13: 9788132228967

Softcover Reprint of the Origi edition

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Non-Linear Feedback Neural Networks: VLSI Implementations and Applications 2013, Springer, India, Private Ltd, New Delhi

ISBN-13: 9788132215622

2014 edition

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