期刊
IEEE TRANSACTIONS ON NEURAL NETWORKS
卷 20, 期 11, 页码 1837-1841出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNN.2009.2031870
关键词
Associative memories; cellular neural networks (CNNs); particle swarm optimization (PSO); robustness to parametric variations
In this brief, a synthesis procedure for cellular neural networks (CNNs) with space-invariant cloning templates is proposed. The design algorithm is based on the use of the evolutionary algorithm of the particle swarm optimization (PSO) with the application to associative memories. The proposed synthesis procedure takes into account requirements in terms of robustness to parametric variations. Numerical results show that the networks also guarantee good performances in terms of correct recall in the presence of noisy patterns.
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