Generalised cellular neural networks (GCNNs) constructed using particle swarm optimisation for spatio-temporal evolutionary pattern identification

Wei, H.L. and Billings, S.A. (2008) Generalised cellular neural networks (GCNNs) constructed using particle swarm optimisation for spatio-temporal evolutionary pattern identification. International Journal of Bifurcation and Chaos, 18 (12). pp. 3611-3624. ISSN 0218-1274

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Authors/Creators:
  • Wei, H.L. (w.hualiang@shef.ac.uk)
  • Billings, S.A. (s.billings@shef.ac.uk)
Copyright, Publisher and Additional Information: Electronic version of an article published as, International Journal of Bifurcation and Chaos, 18, 12, 2008, 3611-3624 DOI: 10.1142/S0218127408022585 © copyright World Scientific Publishing Company http://www.worldscinet.com/ijbc/ijbc.shtml
Keywords: Cellular neural networks, coupled map lattices, evolutionary algorithms, mutual information, neural networks, orthogonal least squares, parameter estimation, particle swarm optimization, spatio-temporal evolutionary systems
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Miss Anthea Tucker
Date Deposited: 12 May 2009 12:48
Last Modified: 08 Feb 2013 16:58
Published Version: http://dx.doi.org/10.1142/S0218127408022585
Status: Published
Publisher: World Scientific Publishing
Refereed: Yes
Identification Number: 10.1142/S0218127408022585

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