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基于灰色关联分析与RBF神经网络的水面蒸发量预测
引用本文:魏光辉,马亮.基于灰色关联分析与RBF神经网络的水面蒸发量预测[J].甘肃气象,2009,27(1).
作者姓名:魏光辉  马亮
作者单位:新疆农业大学水利与土木工程学院,新疆,乌鲁木齐,830052  
基金项目:新疆水利水电工程重点学科基金 
摘    要:利用灰色关联度法分析了影响水面蒸发量的主要气象因素,并通过RBF神经网络建立了水面蒸发量的经验预测模型.计算结果表明,所建立的模型简单易行,精度较高,可以应用于生产实践中.

关 键 词:水面蒸发量  灰色关联度  RBF神经网络  预测

Prediction of Water Surface Evaporation Based on Grey-relation Analysis and RBF Neural Network
WEI Guanghui,MA Liang.Prediction of Water Surface Evaporation Based on Grey-relation Analysis and RBF Neural Network[J].Gansu Meteorology,2009,27(1).
Authors:WEI Guanghui  MA Liang
Institution:College of Water Conservancy & Civil Engineering;Xinjiang Agricultural University;Urumqi 830052;China
Abstract:The main meteorological factors influencing water surface evaporation were analyzed using the grey-relation analysis,and through RBF neural network the experiential model was established to forecast water surface evaporation.The calculation results show that the model can be used easily in practice with higher precision.
Keywords:water surface evaporation  grey-relation analysis  RBF neural network  prediction  
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