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Studies in Computational Intelligence

Non-Linear Feedback Neural Networks

VLSI Implementations and Applications

Authors: Ansari, Mohd. Samar

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  • 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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eBook $99.00
price for USA in USD
  • ISBN 978-81-322-1563-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
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  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-81-322-1562-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $129.99
price for USA in USD
  • 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 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: October 14, 2016
  • ISBN 978-81-322-2896-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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)

Table of contents (7 chapters)

Buy this book

eBook $99.00
price for USA in USD
  • ISBN 978-81-322-1563-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-81-322-1562-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $129.99
price for USA in USD
  • 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 (24 hours a day, 7 days a week). Pre-ordered printed titles are excluded from promotions.
  • Due: October 14, 2016
  • ISBN 978-81-322-2896-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
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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
79 b/w illustrations
Topics