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Analysis on evaluation ability of nonlinear safety assessment model of coal mines based on artificial neural network
被引：1
作者：
施式亮
刘海波
刘爱华
机构：
[1] Central South University
[2] China
[3] School of Resource and Safety Engineering
[4] Changsha 410083
[5] Hunan University of Science and Technology
[6] Xiangtan 411201
基金：
中国国家自然科学基金;
关键词：
Safety technology and engineering;
mine safety;
safety assessment;
neural network;
evaluation ability;
D O I：
暂无
中图分类号：
TD79 [劳动安全];
学科分类号：
081903 ;
摘要：
Based on the integration analysis of goods and shortcomings of various methods used in safety assessment of coal mines, combining nonlinear feature of mine safety sub-system, this paper establishes the neural network assessment model of mine safety, analyzes the ability of artificial neural network to evaluate mine safety state, and lays the theoretical foundation of artificial neural network using in the systematic optimi- zation of mine safety assessment and getting reasonable accurate safety assessment result.
引用
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页码：55 / 59
页数：5
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