| 城市污水排放量预测模型研究 |
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| 引用本文： | 张宏伟,岳琳,王亮.城市污水排放量预测模型研究[J].中国给水排水,2005,21(9):40-42. |
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| 作者姓名： | 张宏伟 岳琳 王亮 |
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| 作者单位： | 天津大学,环境科学与工程学院,天津,300072 |
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| 基金项目： | 天津市科技发展计划项目（033113811） |
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| 摘 要： | 采用多元线性回归和BP人工神经网络两种方法分别建立城市污水排放量的预测模型，并进行实例计算验证。通过比较分析，发现BP神经网络的非线性映射能力能够更好地反映城市污水量与多个自变量间的复杂关系，具有较高的模拟精度且应用简便。
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| 关 键 词： | 城市污水排放量 预测 多元线性回归 BP人工神经网络 |
| 文章编号： | 1000-4602（2005）09-0040-03 |
| 收稿时间： | 2005-04-21 |
| 修稿时间： | 2005-04-21 |
Forecasting Model for Urban Wastewater Discharge |
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| ZHANG Hong-wei,YUE Lin,WANG Liang.Forecasting Model for Urban Wastewater Discharge[J].China Water & Wastewater,2005,21(9):40-42. |
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| Authors: | ZHANG Hong-wei YUE Lin WANG Liang |
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| Abstract: | Multivariate linear regression and BP artificial neural network were used respectively to set up the forecasting model for urban wastewater discharge, which was verified through case based calculation. By means of comparative analysis, it is observed that BP neural network has the nonlinear mapped ability to reflect well the complex relationship between urban wastewater discharge and several independent variables, and it has the advantages of high analog accuracy and convenience for application. |
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| Keywords: | urban wastewater discharge forecasting multivariate linear regression BP artificial neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
