以峰峰矿区梧桐庄矿为例，应用神经网络的方法，对矿井突水水源进行了系统研究。
In the text, Fengfeng Mine is adopted as an example for the use of neural network method and for a systematic study of water bursting source of the mine.
供水管网是将水从单一或多个水源地输送到用户的管线网络。
Water distribution system is a pipeline network which deliver water from single or multiple supplying sources to consumer.
利用BP算法对训练样本进行学习，确定判别模型，根据已训练好的神经网络对样本进行判别。结果表明，采用人工神经网络对矿井水源进行判别，能得到较好的结果。
This paper proposed the model of BP neural network and its idiographic arithmetic, then applied it into the discrimination of the water source in mine.
以水源-水阱匹配关系为约束条件，建立了单杂质用水网络的混合整数线性规划模型。
The mixed integer linear programming model was established with the water source-sink matching as the constraint.
本文综合考虑水源、水压、隔水层、断层等因素对煤层底板突水的影响，建立了煤层底板突水人工神经网络预测模型。
This paper considers comprehensively water source, water pressure, impedance water strata, and fault ectal factors to establish a ANN forecast model for water-inrush from coal floor.
降水很可能传输病原体到饮用水源中或渗漏的供水网络中。
Precipitation likely transported pathogens into drinking-water sources or into leaking water-distribution networks.
降水很可能传输病原体到饮用水源中或渗漏的供水网络中。
Precipitation likely transported pathogens into drinking-water sources or into leaking water-distribution networks.
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