Abstract
In this paper, we propose a chaotic complex-valued associative memory which can realize a dynamic association of multi-valued patterns. The proposed model is based on a complex-valued associative memory and a chaotic associative memory. The complex-valued associative memory can treat multi-valued patterns, and the chaotic associative memory can recall stored patterns dynamically. The proposed model utilizes the properties of these conventional models to realize the dynamic association of multi-valued patterns. In this paper, we showed that the chaotic behavior occurs in the proposed chaotic complex-valued neuron model. Moreover, we carried out a series of computer experiments and confirmed that the proposed model realizes the dynamic asscotiation of multi-valued patterns. And, we discussed the influence of some parameters and state number for dynamic associations.
