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Cellular Neural Networks: Theory and Applications
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$135.00
Editors: Slavova, Angela (Institute of Mathematics, Bulgaria); Mladenov, Valeri (Technical University of Sofia)
Book Description:
Cellular Neural Networks (CNN’s) were introduced in 1988 by L.O.Chua and L.Yang as a novel class of information processing systems, which possesses some of the key features of Neural Networks and which has important potential applications in such areas as image processing and pattern recognition. Many complex computational problems can be formulated, as well-defined tasks where the signal values are placed on a regular geometric 2-D or 3-D grid, and the direct interaction between signal values are limited within a finite local neighborhood. CNN is an analog dynamic processor arraywhich reflects just this property: the processing elements interact directly within a finite local neighborhood.
The purpose of the book is to present the recent results in the basic concepts of dynamics, stability analysis and CNN models of some partial differential equations.

Table of Contents:
Preface; Chapter 1. Introduction to Cellular Neural Networks (Valeri Mladenov, Technical University of Sofia); Chapter 2. Theory of Cellular Neural Networks: Mathematical Point of View (Angela Slavova, Institute of Mathematics, Bulgaria); Chapter 3. Stability Analysis of Bidirectional Associative Memory CNNs with time delays (Sabri Arik, Istanbul University, Istanbul, Turkey); Chapter 4. On the Dynamics of Some Classes of Cellular Neural Networks (Liviu Goras el al., Technical University „Gh. Asachi” Iasi, Romania); Chapter 5. Spatio-Temporal Phenomena in Two-dimensional Cellular Nonlinear Networks (Valeri Mladenov, Technical University of Sofia); Chapter 6. Travelling Waves in FitzHugh-Nagumo Cellular Neural Network Model (Angela Slavova, Institute of Mathematics, Bulgaria and Pietro Zecca, Universitŕ di Firenze); Chapter 7. CNN Applications in Modeling and Solving Non-Electrical Problems (Branimir Reljin el al., University of Belgrade); Chapter 8. CNN for Obstacle Detection in Stereo Vision Imagery (Leonarda Carnimeo and Antonio Giaquinto, Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari); Chapter 9. Object Tracking and Exact Colour Reproduction for Medical Imaging (Peter Kozma el al., University of Veszprém); Chapter 10. Criteria for Trained Neural Networks with Appliance in Passive Radiolocation (M.Kostova, V.Dzhurov, University of Ruse); Index.

   Binding: Hardcover
   Pub. Date: 2004
   ISBN: 1-59454-040-3
  
  
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Cellular Neural Networks: Theory and Applications