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Convergence analysis of recurrent neural networks /

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This volume provides a comprehensive study of the convergence of recurrent neural networks, which has been increasingly used in applications relating to associative memory, image processing and pattern recognition. Throughout the book, the authors present their original research results of recent ye...

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Bibliographic Details
Main Author: Yi, Zhang
Corporate Author: SpringerLink (Online service)
Other Authors: Tan, Kok Kiong, 1967-
Format: eBook
Language:English
Published: Boston : Kluwer Academic Publishers, [2004]
Series:Network theory and applications ; v. 13.
Subjects:
Neural networks (Computer science)
Réseaux neuronaux (Informatique)
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • 1. Introduction
  • 2. Hopfield Recurrent Neural Networks
  • 3. Cellular Neural Networks
  • 4. Recurrent Neural Networks with Unsaturating Piecewise Linear Activation Functions
  • 5. Lotka-Volterra Recurrent Neural Networks with Delays
  • 6. Delayed Recurrent Neural Networks with Global Lipschitz Activation Functions
  • 7. Other Models of Continuous Time Recurrent Neural Networks
  • 8. Discrete Recurrent Neural Networks.