首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于BP神经网络的矿井火灾安全评价方法
引用本文:孙勇,彭担任,张人伟,刘学振,王福厚,张永明.基于BP神经网络的矿井火灾安全评价方法[J].工业安全与环保,2011,37(1):38-40.
作者姓名:孙勇  彭担任  张人伟  刘学振  王福厚  张永明
作者单位:1. 煤炭科学研究总院沈阳研究院,沈阳,110016
2. 中国矿业大学,江苏徐州,221116
3. 山东省枣庄监狱,山东枣庄,277522
摘    要:在对国内煤矿调研的基础上,建立了包括内因火灾、外因火灾、管理和救灾3个子系统的评价指标体系;通过模糊层次法,求解了各指标权重;结 合目前比较成熟的BP神经网络方法,研究了一种新的矿井火灾安全评价方法,并编制了界面友好的软件,在矿井实际应用中取得较为满意的评价结果.

关 键 词:矿井火灾  安全评价  模糊层次分析法  BP神经网络

Mine Fire Safety Assessment based on BP Neural Network
SUN Yong,PENG Danren,ZHANG Renwei,LIU Xuezhen,WANG Fuhou,ZHANG Yongming.Mine Fire Safety Assessment based on BP Neural Network[J].Industrial Safety and Dust Control,2011,37(1):38-40.
Authors:SUN Yong  PENG Danren  ZHANG Renwei  LIU Xuezhen  WANG Fuhou  ZHANG Yongming
Institution:SUN Yong1 PENG Danren2 ZHANG Renwei3 LIU Xuezhen1 WANG Fuhou1 ZHANG Yongming1(1.Shenyang Branch of China Coal Research Institute Shenyang 110016)
Abstract:Based on the investigation of the national coal mine,an assessment index system is set up,which includes three sub-systems,spontaneous fire,exogenous fire and management and relief;the fuzzy AHP is applied to find out the weight of every index;according to the ripe BP neural network process at present,one kind of new mine fire safety assessment process is studied and the friendly interface software is compiled,which is satisfying in the applicaion.
Keywords:mine fire safety assessment fuzzy AHP BP neural network  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号