地下水动态预测的径向基函数法

A RBF Artificial Neural Network Model for the Prediction of Regional Groundwater Level

地下水系统是一个复杂的随机系统，根据地下水位与其影响因素之间存在的映射关系，建立了一个RBF人工神经网络模型，并将其用于地下水位的动态预测。实例表明，该方法预测精度较高，具有一定的推广价值。

：On the basis of the relationship between groundwater level and the main influential factors of groundwater level， a model for the prediction of regional groundwater level has been set by means of a three layer forward radial basis function artificial neural network （RBF－ANN）． The case study shows that the prediction results of the said model have a rather high accuracy and the method is worthwhile to be popularized．