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Urban Water Demand Forecasting by Combining Improved BP Neural Network and Grey Model with Optimum Weight
Authors:JIANG Shao jie and JIANG Chong guo
Abstract:Prediction of water demand is a complex system affected by a mass of data and influencing factors together. Nowadays, most of the forecasting methods are single model ones. They reflect only part of the system. In view of this situation, a combined model
Keywords:prediction of water demand  grey model  improved BP neural network  combined model with optimum weight
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