Design of a chaotic neural network by using chaotic nodes and NDRAM network

Recent developments in nonlinear dynamics and the theory of chaos have shown deterministic chaotic property of EEGs. Such evidences made the researchers try to take advantage of the chaotic behavior in artificial neural networks. According to the natural selection theory a good problem-solver should have two main properties: The ability of emerging various solutions for problem and existence of a rule (or intelligence) to guide this evolution and variety to become close to the goal. In this paper we used a chaotic node with logistic map to make the ability of emerging various solutions. In order to intelligently control the evolution of chaotic nodes we designed a rule by using NDRAM. The performance of proposed chaotic neural network is about 80% whereas the performance of NDRAM is about 40% in the same condition.