PSO-based cloning template design for CNN associative memories
IEEE Transactions on Neural Networks
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Designing or learning of templates for cellular neural networks constitutes one of the crucial research problems of this paradigm. In this work, we present the use of a particle swarm optimizer, a global search algorithm, to design a template set for a CNN. A brief overview of the algorithms and methods is given. Design of popular templates will be performed using the search algorithm described.