Analysis on evaluation ability of nonlinear safety assessment model of coal mines based on artificial neural network

作     者：施式亮 刘海波 刘爱华 

作者机构：School of Resource and Safety EngineeringHunan University of Science and Technology Xiangtan 411201 China School of Resource and Safety EngineeringCentral South UniversityChangsha 410083China 

出 版 物：《Journal of Coal Science & Engineering(China)》 (煤炭学报（英文版）)

年 卷 期：2004年第10卷第2期

页      面：55-59页

核心收录：

学科分类：0808[工学-电气工程] 0819[工学-矿业工程] 081903[工学-安全技术及工程] 08[工学] 0818[工学-地质资源与地质工程] 0807[工学-动力工程及工程热物理] 0815[工学-水利工程] 0813[工学-建筑学] 0814[工学-土木工程] 

基　　金：Supported by the National Natural Science Foundation of China(50274060) and State Administration of Work Safety(03-103) 

主　　题：安全工程 矿山安全 安全评估 神经网络 

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.