Aiming at the problem of modeling complicated nonlinear electron devices in circuit simulation,a method,which makes full use of the capacity of high learning speed and high accuracy of RBF,is proposed.The model can be obtained by describing the architecture of the neural network in Pspice,which is achieved by learning the input and output data of the device.The efficiency of this method is proved by experiments.
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