Based on the time series, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
根据其时间序列，建立线性神经网络模型，并将其用于地下水流量的动态预测。
In combination of the in situ groundwater treatment pilot plant data with the base experiment data we established a prediction model for the ZVI groundwater restoration.
最后通过地下水原位修复中试装置，结合中试实验数据和基础试验数据，建立了ZVI修复污染地下水的预测模型。
According to the relationship between precipitation and discharge of groundwater, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
根据降水量与地下水流量之间的相关关系，建立线性神经网络模型，并且将其用于地下水流量的动态预测。
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