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.
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