Chaotic Complex-Valued Associative Memory
Masao Nakada, Yuko Osana · IEICE technical report. Neurocomputing · 2007
Abstract—In this paper, we propose a chaotic complexvalued 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. We carried out a series of computer experiments and confirmed that the proposed model realizes the dynamic association. And, we show the influence of some parameters and state number for the dynamic association.