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- W2286386700 abstract "Gray model is considered as a good short-term prediction model which can provide a precise output with few sample data. But it is not suitable for and not enough precise for long term prediction. In this paper we introduced and compared gray model GM(1,1), evolutional Gray Model (EGM), BP neural network and wavelet network. Then we put forward a new method named gray wavelet neural network, which combined the advantages of both EGM and wavelet neural network. Morlet wavelet was chosen as the mother wavelet in GWNN building. It was applied in the mine waste output and the storage prediction in the medium and long-term successfully, which will provide decision-making basis for economic development of mining area." @default.
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- W2286386700 date "2011-03-12" @default.
- W2286386700 modified "2023-09-26" @default.
- W2286386700 title "Mining Waste Prediction Via Gray Wavelet Neural Network" @default.
- W2286386700 doi "https://doi.org/10.1109/etcs.2011.33" @default.
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