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To solve the fault forecast problem caused by small samples, a model based on grey neural network GNNM (1,1) is presented. The quadratic momentum is introduced on the base of GNNM (1,1) model and the convergence of the model is proved. The experiment results show that the GNNM (1,1) model based on quadratic momentum has a better prediction results than traditional GNNM (1,1) model.
Studying on river shoal evolution is a fundamental work in the science of water conservancy, water conservancy projects and waterways planning, designing, engineering feasiblility. First of all, the neural network model for predicting the evolution of shoal in a river is established, through training the neural network to determine the number of hidden layer's neural, thus, a more ration neural network...
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