Li-xin Yang

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Based on RBF neural network, making chaotic time series that was generated by Lorenz dynamical system as an object of study. The network prediction model was established. Input variables of network model have been optimized to improve. And compared to the BP, RBF neural network models, based on improved RBF neural network for chaotic time series forecasting(More)
This paper studies the generalized synchronization between two completely different complex dynamical networks. We present two complex dynamical networks, in which the nodes of the network are different and each node has the different dimensional dynamical system. Then we give a nonlinear control scheme based on Lyapunov stability theory, and derive a(More)
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