Non-Linear Feedback Neural Networks VLSI Implementations and Applications /

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 soluti...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Ansari, Mohd. Samar (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: New Delhi : Springer India : Imprint: Springer, 2014.
Edition:1st ed. 2014.
Series:Studies in Computational Intelligence, 508
Subjects:
Computational intelligence.
Electronic circuits.
Neural networks (Computer science) .
Electronics.
Computational Intelligence.
Electronic Circuits and Systems.
Mathematical Models of Cognitive Processes and Neural Networks.
Electronics and Microelectronics, Instrumentation.
Online Access:Texto Completo
Table of 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.

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