| 改进的RBF网络在区域需水预测中的应用 |
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| 引用本文： | 白雪华,郭旭颖.改进的RBF网络在区域需水预测中的应用[J].青岛理工大学学报,2005,26(3):87-89. |
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| 作者姓名： | 白雪华 郭旭颖 |
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| 作者单位： | 内蒙古鄂尔多斯煤炭局地部,鄂尔多斯,300400;辽宁工程技术大学,阜新,123000 |
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| 摘 要： | 利用径向基函数神经网络,建立了区域用水量预测模型,改进了RBF网络学习方法;根据某地区近年来影响用水量主要影响因素的数据对该网络进行训练,并用训练好的网络模型对该区域以往和今后不同年份的用水量进行预测;对以往用水量预测结果表明该模型有较高预测精度、通用性和客观性.
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| 关 键 词： | 用水量 神经网络 需水预测 |
| 修稿时间： | 2005年3月21日 |
Applications of Water Demand Prediction Based on Improved RBF Neural Network |
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| Bai Xue-hua,Guo Xu-ying.Applications of Water Demand Prediction Based on Improved RBF Neural Network[J].Journal of Qingdao Technological University,2005,26(3):87-89. |
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| Authors: | Bai Xue-hua Guo Xu-ying |
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| Affiliation: | Bai Xue-hua~1,Guo Xu-ying~2 |
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| Abstract: | Based on radial basis function (RBF) neural network, the prediction model of water demand is established and an improved learning algorithm for RBF network is presented. By using the data that affect the water demand of a certain region in recent years, the RBF network is trained. The water demand for the previous years and the future is predicted by the RBF network. The prediction results of water demand for the previous years indicate that the model has high precision of prediction and definite versatility and objectivity. |
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| Keywords: | water demand neural network water demand prediction |
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