A new modeling method based on principle component analysis(PCA) and radical basis function neural network(RBFN)is presented.The PCA is worked as a preprocessor,which projects the high dimensions input variables into a low dimensions principle components,while the RBFN is used to establish a self tuning model with these principal components,the PCA RBFN method can not only simplify the structure of neural networks and improve the accuracy of model ,but also avoid wrong result caused by fault of sensor or...
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