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The feedforward neural networks trained with the online backpropagation (BP) learning algorithm have been widely studied in various areas of scientific research and engineering applications. In this paper we further study the convergence property of the online BP learning algorithm. Unlike the existing convergence analysis mainly focusing on the convergence of the gradient sequence of the error functions,...
For supplying optimal scheduling of Zhengzhou city with short-term water consumption data, this paper builds three types of forecasting model according to moving arithmetic mean method, regression analysis method and BP neural network. As a result, forecasting result is obtained by water supply data and meteorological data. The study shows that three different methods all can meet the need of urban...
On the basis of experimental data about carbon material binder modification additives, the bond strength prediction model of the carbon material with RBF NN (radial basis function neural network) is studied. An improved hybrid algorithm of nearest neighbor clustering algorithm (NNCA) and mode 2 decreasing gradient descent (M2DGD) is proposed to solve the low accuracy problem of NNCA. Then the prediction...
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