基于两种不同方法的矿井通风系统安全评价研究

摘要

在采用灰色关联度分析法和人工神经网络评价法的基础上，结合数学原理和评价程序，建立了评价指标体系。灰色关联法能够客观地给出评价对象的所属等级，并且物理逻辑清晰，概念直观，计算相对简单；人工神经网络模仿人的大脑组织结构，具有很强的学习和自我加工以及联想功能，精度较高，基本上能够掌握评价目标的客观规律。两种评价方法的结合，能够相互补充，科学地评价矿井通风系统，全面反映矿井通风系统状况，能够在实际生产过程中推广应用。%Based on the analysis method and artificial neural network evaluation method uses grey,the combination of mathematical principles and the evaluation process,the evaluation index system is established.The grade of grey correlation method gives the e-valuation objects,the physical logic clear,intuitive in concept,the calculation is relatively simple;artificial neural network can simulate the structure of human brain tissue,has the very strong learning and self processing and functional association,precision is high,basically can objectively master the law of the evaluation target.Combined with the two kinds of evaluation methods,can be mutually complementary scientific evaluation of mine ventilation system,fully reflect the mine ventilation system,can be widely used in the actual production process.