神经网络的地下水类型判别系统及其应用  

The underground water determination system based on ANN and its application

作　　者：王钧漪[1] 许进鹏[1] 金黎明[1] 

机构地区：[1]中国矿业大学资源与地球科学学院,江苏徐州221116

出　　处：《煤炭科技》2008年第3期44-46,共3页Coal Science & Technology Magazine

摘　　要：简要介绍了BP神经网络的理论,在此基础上根据任楼矿区含水层水化学特征,建立判别含水层的BP神经网络模型,从而建立了防突水预警系统。实践证明,该神经网络系统对防范矿井突水有重要作用。the pinciple of BP neural network was briefly introduced. On this basis, according to the hydrochemistry characteristics of the aquifers in RenLou mining area, the BP neural network model was established, which could quickly determine the water aquifer,so as to establish the anti-water burst early warning system. Practice shows that the neural network system plays an important role in guarding against water burst.

关 键 词：含水层 水化学特征 BP神经网络 

分 类 号：TD745[矿业工程—矿井通风与安全]