地下水水位预测的人工神经网络模型研究

A Study Artificial Neural Network Model for Groundwater Level Prediction

地下水系统是一个复杂的随机系统,本文根据地下水水位与其影响因素之间存在的相关关系,建立了一个基于神经网络的地下水水位预测模型,并将其用于研究区地下水水位的预测,结果表明该方法具有较高的预测精度。

Groundwater system is intricate and stochastic. According to the relationship between groundwater level and its influential factors, a model of artificial neural network is established and used for the prediction of groundwater level. The result indicates that it has higher precision on prediction.