作者：
禹航肖明清赵鑫ATS Lab
Engineering CollegeAir Force Engineering University
One kind of steepest descent incremental projection learning algorithm for improving the training of radial basis function(RBF)neural network is proposed,which is applied to analog circuit fault *** algorithm simplifi...
详细信息
One kind of steepest descent incremental projection learning algorithm for improving the training of radial basis function(RBF)neural network is proposed,which is applied to analog circuit fault *** algorithm simplified the structure of network through optimum output layer coefficient with incremental projection learning(ipl)algorithm,and adjusted the parameters of the neural activation function to control the network scale and improve the network approximation *** to the traditional algorithm,the improved algorithm has quicker convergence rate and higher isolation *** results show that this improved RBF network has much better performance,which can be used in analog circuit fault isolation field.
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