基于PCA-BP神经网络的矿井突水水源识别

地球科学国际期刊(英文) Pub Date : 2023-01-01 DOI:10.4236/ijg.2023.148038

Mingcheng Ning, Hai-long Lu

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引用次数: 0

摘要

对矿井水的化学指标进行分析，开发水源快速识别系统，能够快速准确地区分突水原因，识别突水来源，对减少人员伤亡和经济损失，防治突水灾害具有重要意义。取ca2 +， Mg +，

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Identification of Mine Water Inrush Source Based on PCA-BP Neural Network

It is of great significance to analyze the chemical indexes of mine water and develop a rapid identification system of water source, which can quickly and accurately distinguish the causes of water inrush and identify the source of water inrush, so as to reduce casualties and economic losses and prevent and control water inrush disasters. Taking Ca 2+ , Mg 2+ ,

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地球科学国际期刊(英文)

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