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Hydrological elements forecasting model has been improved continuously. The variation of hydrological elements has uncertainty, in order to explain the mechanism, we need to consider more factors related. In this study, gray model (GM (1, N)) self-memory model was established to consider more related factors, and then it was combined with back-propagation (BP) neural network model. Based on this combined,...
In view of the defect that the grey method can only predict the tendency approximately and artificial neural network can not predict the future tendency really, a new combined grey neural network model was proposed. This paper mainly analyses the groundwater quality and establishes their mathematical model based on the groundwater monitoring data of one area by combined grey neural network method...
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