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应用神经网络评价矿井通风系统
引用本文:张晓宇,窦世卿.应用神经网络评价矿井通风系统[J].有色矿冶,2005,21(4):11-13.
作者姓名:张晓宇  窦世卿
作者单位:黑龙江科技学院,资源与环境工程学院,黑龙江,哈尔滨,150027
摘    要:运用人工神经网络理论和方法,建立矿井通风系统评价的神经网络模型,通过实例进行评价分析,预测结果与实际结果一致,说明用神经网络方法评价矿井通风系统是可行的。

关 键 词:神经网络  矿井通风系统  评价
文章编号:1007-967X(2005)04-0011-03
修稿时间:2004年12月22

The Assessment of Ventilation System For Underground Mines Based on Neural Network
ZHANG Xiao-yu,DOU Shi-qing.The Assessment of Ventilation System For Underground Mines Based on Neural Network[J].Non-Ferrous Mining and Metallurgy,2005,21(4):11-13.
Authors:ZHANG Xiao-yu  DOU Shi-qing
Abstract:This paper uses the ANN (Artificial Neural Network) theory and method to establish a neural network model of the ventilation0 system for underground mines.Through of the example to evaluation analysis and it shows that the prediction result and the actually result are consistence, we can get the conclusion that the application of neural network in ventilation system for underground mines is feasible.
Keywords:neural net  ventilation system for underground mines  evaluation
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