Urban Water Demand Forecasting by Combining Improved BP Neural Network and Grey Model with Optimum Weight

doi:10.11835/j.issn.1674-4764.2008.02.048

Home > Archive>Volume 30, Issue 2, 2008 >113-115. DOI:10.11835/j.issn.1674-4764.2008.02.048

Urban Water Demand Forecasting by Combining Improved BP Neural Network and Grey Model with Optimum Weight
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                        10.11835/j.issn.1674-4764.2008.02.048
                    
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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

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蒋绍阶,江崇国.灰色神经网络最优权组合模型预测城市需水量[J].土木与环境工程学报（中英文）,2008,30(2):113~115

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