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We simulated an associative memory with mutually connected neural network, and successfully made the connection matrix learn some binary patterns only by means of generic algorithm. Although the memor...y capacity is about 12% of the number of neurons, the fact that it was made without any learning algorithm like Hebbian rule is very interesting. The structure of connection matrics we obtained is quite different from that of Hopfield network. Our overall goal for this research is two fold. One is to know if we can use generic algorithm as a more effective learning method than that proposed so far, and another is to understand this learning mechanism of generic algorithm.続きを見る
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imada95mutually