Authors:
- 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
Part of the book series: Studies in Computational Intelligence (SCI, volume 508)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
About this book
Authors and Affiliations
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Electronics Engineering, Aligrah Muslim University, Aligarh, India
Mohd. Samar Ansari
About the author
Bibliographic Information
Book Title: Non-Linear Feedback Neural Networks
Book Subtitle: VLSI Implementations and Applications
Authors: Mohd. Samar Ansari
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-81-322-1563-9
Publisher: Springer New Delhi
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer India 2014
Hardcover ISBN: 978-81-322-1562-2Published: 16 September 2013
Softcover ISBN: 978-81-322-2896-7Published: 27 August 2016
eBook ISBN: 978-81-322-1563-9Published: 03 September 2013
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XXII, 201
Number of Illustrations: 79 b/w illustrations
Topics: Computational Intelligence, Circuits and Systems, Mathematical Models of Cognitive Processes and Neural Networks, Electronics and Microelectronics, Instrumentation