Evolution of a Hop eld Associative Memory by the Breeder Genetic Algorithm
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چکیده
We apply some variants of evolutionary computations to the Hop eld model of associative memory. In this paper, we use the Breeder Genetic Algorithm (BGA) to explore the optimal set of synaptic weights with respect to the storage capacity. We present the BGA has tremendous ability to search a solution in the massively multi-modal landscape of the synaptic weight space. The main goal of this study is to shed new light on the analysis of the Hop eld model of associative memory. We also expect the model to be used as a new test function of evolutionary computations.
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تاریخ انتشار 1997