Abstract
The application of multilayered neural networks (MNN) for transient identification in nuclear power plants has been reported in the literature. However, an obvious disadvantage of the neural networks reported in the literature for the purpose is that they are highly nonlinear in the parameters. A viable alternative to highly nonlinear in the parameter neural netorks is the radial basis function (RBF) neural networks. Therefore, in this paper, a RBF neural network for transient identification in nuclear power plants is presented. Performance comparison of the RBF neural networks and the backpropagation neural networks are also presented.
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