|本期目录/Table of Contents|

[1]刘业娇,田志超,刘进才.BP神经网络在矿井本质安全程度评价中的应用[J].中国安全生产科学技术,2009,5(5):102-105.
　LIU Ye jiao,TIAN Zhi chao,LIU Jin cai.Application of BP neural network in the field of evaluation on intrinsical safety degree in mine[J].Journal of Safety Science and Technology,2009,5(5):102-105.
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BP神经网络在矿井本质安全程度评价中的应用()

《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
5
期数:
2009年5
页码:
102-105
栏目:
出版日期:
2009-10-31

文章信息/Info

Title:
Application of BP neural network in the field of evaluation on intrinsical safety degree in mine
文章编号:
1673-193X(2009)-05-0102-04
作者:
刘业娇1; 田志超2; 刘进才1
1.内蒙古科技大学资源与安全工程学院2.内蒙古科技大学建筑与土木工程学院
Author(s):
LIU Yejiao1;  TIAN Zhichao2;  LIU Jincai1
1.Inner Mongolia University of Science & Technology, The School of Resource & Safety Engineering2.Inner Mongolia University of Science & Technology, The School of Architecture & Civil Engineering
关键词:
BP神经网络; 本质安全程度; matlab60; 神经网络评价模型
Keywords:
BP neural network;  intrinsical safety degree;  matlab60;  model of evaluation of neural network
分类号:
X936
DOI:
-
文献标志码:
A
摘要:
采用BP神经网络对矿井本质安全程度进行评价。介绍了矿井本质安全程度评价方法以及BP神经网络的结构及原理；按照BP神经网络训练的步骤，以matlab60为平台，利用其内嵌的神经网络工具箱，生成通用的神经网络评价模型；输入经过标准化后的矿井本质安全程度指标的评价分数，投入神经网络运算，就可以得出该矿井的本质安全程度。
Abstract:
BP neural network was applied to take evaluation on intrinsical safety degree in mine. The evaluating method of intrinsical safety degree in mine and the structure and theory of BP neural network were introduced; in the light of steps of BP neural network, internal tool boxes of neural network based on matlab6.0 were used,and thus universal evaluating model of neural network was built. The evaluating points of indexes of intrinsical safety degree in mine were input after the standardization, and ploughed into the network to calculate, then the intrinsical safety degree of the mine could be obtained.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2009-06-10作者简介：刘业娇（1982-），女，助教，硕士。
更新日期/Last Update: