人工神经网络在水源地影响评价中的应用

The Application of BP Neural Network to the Evaluation of Wellhead Field Influence

为了评价水源地开采过程中对周围地下水环境的影响 ,本文运用BP神经网络模型建立了有 4个输入、2个输出的三层网络模型。通过BP网络学习训练 ,得到水源地的BP网络模型 ,并运用该模型预测了在不同条件下因水源地开采所引起的降落漏斗和地下水补给量。计算表明 ,BP神经网络用于模拟地下水系统简便、实用 ,能很好地预测地下水动态变化情况。

In order to evaluate the influence of groundwater pumping on groundwater envir- onment, the authors formulated a model with four input units and two output units by using a three layer BP neural network. The drawdown area caused by pumping and groundwater recharge volume were predicted by the learned and trained BP nerwork. The results of the evaluation show that the application of BP neural network to simulating groundwater system is convenient, precise and satisfactory in predicting groundwater dynamic changes.