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Non-Linear Feedback Neural Networks : VLSI Implementations and Applications

Author: Mohd Samar Ansari
Publisher: New Delhi : Springer India : Imprint : Springer, 2014.
Series: Studies in computational intelligence, 508.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Printed edition:
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Mohd Samar Ansari
ISBN: 9788132215639 813221563X 9788132215622 8132215621
OCLC Number: 869772817
Description: 1 online resource.
Contents: Introduction --
Background --
Voltage-mode Neural Network for the Solution of Linear Equations --
Mixed-mode Neural Circuit for Solving Linear Equations --
Non-Linear Feedback Neural Circuits for Linear and Quadratic Programming --
OTA-based Implementations of Mixed-mode Neural Circuits --
Appendix A: Mixed-mode Neural Network for Graph Colouring --
Appendix B: Mixed-mode Neural Network for Ranking.
Series Title: Studies in computational intelligence, 508.
Responsibility: by Mohd. Samar Ansari.

Abstract:

This book details the non-linear synapse neural network (NoSyNN). It also discusses the applications in computationally intensive tasks like graph coloring, ranking, and linear as well as quadratic  Read more...

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