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| Seeking for a scientific and reasonable forecast model is the key point to ensure accurate and reliable prediction results for the urban water consumption. In this paper, a new model is established to solve the combinatorial weighted coefficients by using the forecast precision, and a simple method is introduced to solve the grey-neural network combination forecast model. Based on many examples, the new urban water consumption forecast model is proved to be very effective and much more accurate. |
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| Keywords:forecasting of water consumption, grey-neural network, forecast precision, weighted coefficient. |
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