Neural Networks

Neural Networks

Advances and Applications, 2

1st Edition - July 21, 1992

Write a review

  • Editor: E. Gelenbe
  • eBook ISBN: 9781483297095

Purchase options

Purchase options
DRM-free (PDF)
Sales tax will be calculated at check-out

Institutional Subscription

Free Global Shipping
No minimum order


The present volume is a natural follow-up to Neural Networks: Advances and Applications which appeared one year previously. As the title indicates, it combines the presentation of recent methodological results concerning computational models and results inspired by neural networks, and of well-documented applications which illustrate the use of such models in the solution of difficult problems. The volume is balanced with respect to these two orientations: it contains six papers concerning methodological developments and five papers concerning applications and examples illustrating the theoretical developments. Each paper is largely self-contained and includes a complete bibliography.The methodological part of the book contains two papers on learning, one paper which presents a computational model of intracortical inhibitory effects, a paper presenting a new development of the random neural network, and two papers on associative memory models. The applications and examples portion contains papers on image compression, associative recall of simple typed images, learning applied to typed images, stereo disparity detection, and combinatorial optimisation.

Table of Contents

  • Learning in the Recurrent Random Neural Network (E. Gelenbe). Generalization Performance of Feed-Forward Neural Networks (S. Shekhar et al.). The Nature of Intracortical Inhibitory Effects (J.A. Reggia et al.). Random Neural Networks with Multiple Classes of Signals (J.-M. Fourneau, E. Gelenbe). The MicroCircuit Associative Memory, &mgr;AM: A Biologically Motivated Memory Architecture (C.F. Miles, D. Rogers). Generalised Associative Memory and the Computation of Membership Functions (E. Gelenbe). Layered Neural Network for Stereo Disparity Detection (E. Maeda et al.). Storage and Recognition Methods for the Random Neural Network (M. Mokhtari). Neural Networks for Image Compression (S. Carrato). Autoassociative Memory with the Random Neural Network using Gelenbe's Learning Algorithm (C. Hubert). Minimum Graph Covering with the Random Neural Network Model (E. Gelenbe, F. Batty).

Product details

  • No. of pages: 230
  • Language: English
  • Copyright: © North Holland 1992
  • Published: July 21, 1992
  • Imprint: North Holland
  • eBook ISBN: 9781483297095

About the Editor

E. Gelenbe

Affiliations and Expertise

Université Rene Descartes, Paris, France

Ratings and Reviews

Write a review

There are currently no reviews for "Neural Networks"