论文信息 - A network of multistate units capable of associative memory and pattern classification

A network of multistate units capable of associative memory and pattern classification

Abstract We consider a model of multistable units acting together in a network. We modify the landscape algotithm of spinglass-like neural nets to cope with new conditions. Collective capabilities such as assocaitive memory function or pattern classification are demonstrated using the simplest possible learning rule of Hebb.

Wolfgang Banzhaf | W. Banzhaf

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