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Almost all the existing continuous neural networks now for associative memory are based on optimizing a quadratic function. The disadvantage is that the structure is complicated and implementation of circuit cannot coincide with the theoretical analysis. In this paper, a new linear neural network is presented for associative memory. Simple in nature, the proposed network is proved to be an ideal associative...
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