By the simulation instance, this paper carries out a comparative research of the function approximation ability of BP network and RBF network, and analyzes the fitting accuracy and time efficiency of these two artificial neural networks when they are ...
:This paper introduced the practical value of artificial neural network in fault diagnosis field, respectively, applied the BP network, ELMAN network, RBF neural networks insulating oil fault diagnosis. Simulation results show that, in the transformer ...
Artificial neural network is a technique with flexible mathematical structure and lots of characteristics such as parallel distributed processing, nonlinear processing and so on. So the artificial neural network becomes a common method to solve complex ...
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