工矿自动化2011，Vol.37Issue(10)：60-62,3.DOI:CNKI:32-1627/TP.20110922.1322.015
神经网络在矿井突水水源判别中的应用
Application of Neural Network in Water Source Distinguishing of Mine Water Inrush
吴岩 1余智超2
作者信息
- 1. 铁法煤业(集团)有限责任公司晓明煤矿,辽宁调兵山112700
- 2. 中国矿业大学信电学院,江苏徐州221116
- 折叠
摘要
Abstract
The paper proposed a method of using improved SOM neural network to distinguish water source of mine water inrush. The method takes seven irons contents of Na+ , K+ , Ca2+ , Mg2+ , Cl~ , Sol~ and HCO3" in water as distinguished factors and combines with improved SOM neural network model to classify 20 samples of water source. The experiment result showed that mistake rate of the method is 0 and can distinguish water source of mine water inrush accurately.关键词
矿井突水/水源判别/SOM神经网络/BP神经网络Key words
mine water inrush, water source distinguishing, SOM neural network, BP neural network分类
矿业与冶金引用本文复制引用
吴岩,余智超..神经网络在矿井突水水源判别中的应用[J].工矿自动化,2011,37(10):60-62,3.
