| 径向基函数神经网络预测城市用水量模型及应用 |
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| 作者姓名： | 王宝庆 马奇涛 王德庆 |
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| 作者单位： | 南开大学,环境科学与工程学院,天津,300071 |
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| 基金项目： | 国家水体污染控制与治理科技重大专项 |
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| 摘 要： | 以城市用水人口和城市生产总值作为输入向量,年用水量数据作为目标向量,建立了径向基函数神经网络并对城市用水量进行预测。采用不同的扩展速度,预测误差不同。当扩展速度spread=1时,预测数据与实际数据的相对误差均小于0.05%,取得了很好的预测效果,说明采用径向基函数神经网络模型预测城市用水量的方法是可行的。
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| 关 键 词： | 径向基函数 神经网络 城市用水量 预测模型 |
Prediction and application of urban water consumption with radial basis function neutral network model |
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| Authors: | Wang Baoqing Ma Qitao Wang Deqing |
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| Affiliation: | (College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China) |
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| Abstract: | A radial basis function consumption, which with urban population neural network was established to predict the annual water and gross domestic product（GDP） as the input vector and the annual water consumption as a target vector. It showed that different spread could result in different errors. The relative errors were less than 0.05% for the forecast data and the original data when the spread is 1, and the very good prediction results could be obtained. The result showed that it was feasible to use the radial basis function neural network model for the predicting of urban water consumption. |
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| Keywords: | radial basis function neural network urban water consumption predicting model |
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