Studies in Computational Intelligence

Non-Linear Feedback Neural Networks

VLSI Implementations and Applications

Authors: Ansari, Mohd. Samar

  • First dedicated book on non-linear feedback neural networks
  • Contains thorough discussion on transcendental energy function
  • Includes special chapter on Hopfield Network, its applications, and limitations
  • Cadence OrCAD circuit files for all the circuit simulations discussed in the book
  • Useful material for researchers working in the area of analog computation
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  • ISBN 978-81-322-1563-9
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  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-81-322-1562-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 13, 2016
  • ISBN 978-81-322-2896-7
  • Free shipping for individuals worldwide
Rent the ebook  
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About this book

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.

About the authors

Dr. Mohammad Samar Ansari is an Assistant Professor of the Department of Electronics Engineering at Aligarh Muslim University, Aligarh, India. Before this he worked at the same university as a Lecturer and Guest Faculty from September 2004. Dr. Ansari also worked with Defense Research Development Organization (DRDO) and Siemens Limited during the years 2001–2003. He obtained PhD in 2012 (thesis title: Neural Circuits for Solving Linear Equations with Extensions for Mathematical Programming), and completed MTech (Electronics Engineering) in 2007 and BTech (Electronics Engineering) in 2001 from the same university. He has published 15 international journal papers and more than 30 international and national conference papers. He is a Life Member of The Institution of Electronics and Telecommunication Engineers (IETE), India.

Table of contents (7 chapters)

  • Introduction

    Ansari, Mohd. Samar

    Pages 1-11

  • Background

    Ansari, Mohd. Samar

    Pages 13-54

  • Voltage-Mode Neural Network for the Solution of Linear Equations

    Ansari, Mohd. Samar

    Pages 55-104

  • Mixed-Mode Neural Circuit for Solving Linear Equations

    Ansari, Mohd. Samar

    Pages 105-144

  • Non-Linear Feedback Neural Circuits for Linear and Quadratic Programming

    Ansari, Mohd. Samar

    Pages 145-170

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-81-322-1563-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-81-322-1562-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 13, 2016
  • ISBN 978-81-322-2896-7
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Non-Linear Feedback Neural Networks
Book Subtitle
VLSI Implementations and Applications
Authors
Series Title
Studies in Computational Intelligence
Series Volume
508
Copyright
2014
Publisher
Springer India
Copyright Holder
Springer India
eBook ISBN
978-81-322-1563-9
DOI
10.1007/978-81-322-1563-9
Hardcover ISBN
978-81-322-1562-2
Softcover ISBN
978-81-322-2896-7
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XXII, 201
Number of Illustrations and Tables
79 b/w illustrations
Topics