Recall and separation ability of chaotic associative memory with variable scaling factor
Yuko Osana · 2003
In this paper, we propose a chaotic associative memory (CAM) with variable scaling factor which can separate superimposed patterns and can deal with one-to-many associations. In the proposed model, the appropriate parameters of chaotic neurons can be determined easily than in the original chaotic associative memory.