Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor

摘要

In this paper, we propose a Chaotic Complex-Valued Associative Memory with Adaptive Scaling Factor which can realize dynamic association of multi-valued pattern. In the proposed model, the scaling factor of refractoriness is adjusted according to the maximum absolute value of the internal state up to that time as similar as the conventional Chaotic Associative Memory with Adaptive Scaling Factor. Computer experiments are carried out and we confirmed that the proposed model has the same dynamic association ability as the conventional model, and the proposed model also has recall capability similar to that of the conventional model, even for the number of neurons not used for automatic adjustment of parameters.