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| 用人工神经网络预测时用水量的方法 | |
| 引用本文： | 刘洪波,张宏伟,田林,王新芳.用人工神经网络预测时用水量的方法[J].天津大学学报(英文版),2001,7(4):233-237. |
| 作者姓名： | 刘洪波 张宏伟 田林 王新芳 |
| 作者单位： | 1. 天津大学建筑工程学院, 2. 天津港保税区, 3. 兰州电力学校, |
| 基金项目： | Supported by Foundation for University Key Teacher by Ministryof Education. |
| 摘 要： | 根据城市时段用水量序列季节性、趋势性及随机扰动性的特点 ,利用人工神经网络方法 ,建立了时间水量短期预报模型 .选取不同的隐层结点数 ,采用相同的输入样本及预测数据进行训练和预测 ,并通过比较其相对误差的大小 ,确定了神经网络的结构 ,并应用 Matlab语言进行了具体的建模和预报 .实例考核证明 ,该方法与常用的时间序列三角函数分析法相比 ,具有预测误差小、计算速度快等特点 ,可满足供水系统调度运行的实际需要 |
| 关 键 词： | 神经网络 时用水量 预测 BP算法 Matlab语言 |
STUDY ON ARTIFICIAL NEURAL NETWORK FORECASTING METHOD OF WATER CONSUMPTION PER HOUR |
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| LIU Hong-bo,ZHANG Hong-wei,TIAN Lin,WANG Xin-fang.STUDY ON ARTIFICIAL NEURAL NETWORK FORECASTING METHOD OF WATER CONSUMPTION PER HOUR[J].Transactions of Tianjin University,2001,7(4):233-237. | |
| Authors: | LIU Hong-bo ZHANG Hong-wei TIAN Lin WANG Xin-fang |
| Institution: | LIU Hong bo 1,ZHANG Hong wei 1,TIAN Lin 2,WANG Xin fang 3 |
| Abstract: | An artificial neural network (ANN) short term forecasting model of consumption per hour was built based on seasonality,trend and randomness of a city period of time water consumption series.Different hidden layer nodes,same inputs and forecasting data were selected to train and forecast and then the relative errors were compared so as to confirm the NN structure.A model was set up and used to forecast concretely by Matlab.It is tested by examples and compared with the result of time series trigonometric function analytical method.The result indicates that the prediction errors of NN are small and the velocity of forecasting is fast.It can completely meet the actual needs of the control and run of the water supply system. |
| Keywords: | artificial neural network consumption per hour forecast BP algorithm Matlab |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |