Electronic Resource

Non-Linear Feedback Neural Networks: VLSI Implementations and Applications

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Penilaian

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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, 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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
1408000755	EB0003509	006.32 Ans n	Central Library (Database Springer E-Book)	Available

Detail Information

Series Title

Studies in Computational Intelligence

Call Number

006.32 Ans n

Publisher

India : Springer New Delhi., 2013

Collation

xxii, 201p.: Ill.

Language

English

ISBN/ISSN

978-81-322-1563-9

Classification

006.32

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Feedback control systems
Neural Networks (Computer Science)
Integrated circuits--Very large scale integration

Specific Detail Info

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Statement of Responsibility

RTS

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