An associative memory network with spatiotemporal chaos control is investigated in this paper.Experimental results show that initial input with the knowledge of only a part of the target information can successfully complete associative memory by spatiotemporal chaos parameter control.By means of our proposed algorithm

memory search performance and memory capacity possess more powerful improvement compared with the Hopfield model.Meanwhile we find that success rate of associative memory depends on reinforcement factor

sampling number

information quantity

training threshold value and initial chaos parameters.