基于灰色关联分析与RBF神经网络的水面蒸发量预测

Prediction of Water Surface Evaporation Based on Grey-relation Analysis and RBF Neural Network

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。

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.