Spatially distributed cellular neural networks

Varsha Bhambhani (Department of Mechanical Engineering, University of Delaware, Newark, Delaware, USA)
Luis Valbuena‐Reyes (Department of Mechanical Engineering, University of Delaware, Newark, Delaware, USA)
Herbert Tanner (Department of Mechanical Engineering, University of Delaware, Newark, Delaware, USA)

International Journal of Intelligent Computing and Cybernetics

ISSN: 1756-378X

Publication date: 22 November 2011

Abstract

Purpose

The purpose of this paper is to develop a methodology for the design of cellular neural networks with interconnection topologies optimized and suitable for spatially distributed implementation.

Design/methodology/approach

The authors perform combinatorial optimization on the neural network's topology to obtain a sparser network, in which the links between the components of the network that reside in different physical locations are minimized. The approach builds on existing computationally efficient tools for the design of cellular neural networks and uses the concept of the network's stability parameters to assess the performance of the network prior to testing.

Findings

It turns out that the sparser cellular neural networks thus produced exhibit performance that can be on par with that of networks with full connectivity, and that for implementations of modest size, communication delays are not that significant to affect the stability of the dynamical system.

Originality/value

The novelty of the proposed approach lies in the formulation of the combinatorial optimization problem in a way that trades‐off network performance for communication overhead, and the use of this method for the physical implementation of associative memories across different interconnected processors.

Keywords

Citation

Bhambhani, V., Valbuena‐Reyes, L. and Tanner, H. (2011), "Spatially distributed cellular neural networks", International Journal of Intelligent Computing and Cybernetics, Vol. 4 No. 4, pp. 465-486. https://doi.org/10.1108/17563781111186752

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Publisher

:

Emerald Group Publishing Limited

Copyright © 2011, Emerald Group Publishing Limited

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