The differences of the discharge processes verify the artificial pollution test results.
放电过程的差异验证了人工污秽试验的结果。
A 2-stages artificial neural network is trained to recognize different discharge patterns and the recognition rates are satisfying.
采用分级的人工神经网络进行放电模式识别，取得较好效果。
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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