Abstract:

The main meteorological factors influencing water surface evaporation were analyzed using the grey - relation analysis, and through RBF neural network the experientialmodelwas established to forecastwater surface evaporation. The calculation results show that the model can be used easily in p ractice with higher p recision

Key words: water surface evaporation, grey - relation analysis, RBF neural network, p rediction

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