Chaotic Neural Network with Time Delay Term
Masahiro Wakame, Yuko Osana · IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks · 2007
In this paper, we propose a chaotic neural network with time delay term (CNNTD). The proposed model is based on the conventional chaotic neural network and has two types of connection weights; (1) normal weights for hetero associations and (2) weights with time delay for auto associations. In the proposed model, dynamic associations between patterns belong to the same group in short term and dynamic associations between groups in long term are realized. We carried out a series of computer experiments and confirmed that the effectiveness of the proposed model.