Prediction of chaos and bifurcation: an asymmetric basis function approach
H. Shibayama, Toshimichi Saito · Proceedings of International Conference on Neural Networks (ICNN'97) · 2002
This paper proposes an asymmetric basis function (ABF) network and considers its application for prediction of chaotic time series and bifurcation phenomena. Using chaotic time series from an autonomous circuit, we have performed numerical simulation for the prediction problems and have confirmed that the ABF network has much better performance than conventional RBF networks.