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

基于模糊神经网络的煤矿安全评价综合评判
引用本文:葛淑杰,李彦峰,姜天文,刘辉.基于模糊神经网络的煤矿安全评价综合评判[J].黑龙江科技学院学报,2007,17(4):322-325.
作者姓名:葛淑杰  李彦峰  姜天文  刘辉
作者单位:黑龙江科技学院,计算机与信息工程学院,哈尔滨,150027
基金项目:黑龙江省教育厅科学技术研究项目
摘    要:针对煤矿安全综合评价方法中因人为因素、模糊因素及动态因素而导致评价结果不够准确的情况,依据煤矿安全评价指标体系结构,构建了基于模糊神经网络的多级模糊评判模型,提出了神经网络分级BP学习算法,解决了多级模糊评判中权值学习困难的问题,使训练速度和评判的准确性大幅提高.以鸡西矿业集团煤矿为研究对象,建立了基于模糊神经网络的安全评价模型.结果表明:该方法能有效地对煤矿进行安全评价,综合评判客观、准确.

关 键 词:模糊神经网络  BP算法  综合评判  基于模糊  神经网络  煤矿安全评价  合评判  fuzzy  neural  network  based  comprehensive  assessment  security  evaluation  mine  评价方法  评价模型  对象  研究  矿业集团  鸡西  训练速度  问题  学习困难  权值  模糊评判模型
文章编号:1671-0118(2007)04-0322-04
修稿时间:2007-04-03

Coal mine security evaluation comprehensive assessment based on fuzzy neural network
GE Shujie,LI Yanfeng,JIANG Tianwen,LIU Hui.Coal mine security evaluation comprehensive assessment based on fuzzy neural network[J].Journal of Heilongjiang Institute of Science and Technology,2007,17(4):322-325.
Authors:GE Shujie  LI Yanfeng  JIANG Tianwen  LIU Hui
Institution:College of Computer and Information Engineering, Heilongjiang Institute of Science and Technology, Harbin 150027, China
Abstract:Aimed at the inaccurate appraisal resulting from human factors, fuzzy factors and dynamic factors which exist in view of the coal mine security, this paper, depending on the coal mine safe appraisal target structure, introduces the construction of hierarchical BP study algorithm of neural network based on fuzzy neural network and offers solution to difficult weight study in more hierarchical fuzzy comprehensive assessment. The security appraisal model, based on fuzzy neural network, is directed at the research object of Jixi mining group. Practical application demonstrates that this method can make possible an effective appraisal of the coal mines security and make safe appraisal objective and accurate.
Keywords:fuzzy neural network  BP algorithm  comprehensive assessment
本文献已被 CNKI 维普 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