Lamarckian Evolution of Associative Memory
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چکیده
|There have been a lot of researches which apply evolutionary techniques to layered neural networks. However, their applications to Hop eld neural networks remain few so far. We have been applying Genetic Algorithms to fully connected associative memory model of Hop eld, and reported elsewhere that the network can store some number of patterns only by evolving weight matrices with a simple Genetic Algorithm. In this paper we present that the memory capacity can be enhanced by incorporating Lamarckian inheritance to the Genetic Algorithm.
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تاریخ انتشار 1996