A Predictive Model based on RBF Neural Network

Y. Song and P. Wang (PRC)


Predictive model, nonlinear control, RBF Neural Networks, spread coefficient.


According to the mechanism of Radial base Function (RBF) Neural Network, this paper presents a method, based on RBF Neural Network, for the predictive model of nonlinear complex system. The presented algorithm is applied to the learning and predicting process of the nonlinear model. The simulations show the presented method has good effects on predicting the dynamic process of the non-linear model, and could be applied on predictive control for non-linear systems.

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