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为了能够准确地评价煤矿提升机管理信息系统安全模型的安全性,深入地研究了遗传算法在其中的应用。首先,讨论了煤矿提升机管理信息系统安全模型的改进方法;其次,研究了煤矿提升机管理信息系统安全模型的评价方法;最后,进行了算例分析,分析结果表明基于遗传算法和RBF神经网络的煤矿提升机管理信息系统安全评价模型具有较好的自适应能力,同时,对改进煤矿提升机管理信息系统安全模型和传统煤矿提升机管理信息系统安全模型的风险值进行对比,分析结果表明改进的煤矿提升机管理信息系统安全模型更为安全。
In order to accurately evaluate the safety of mine hoist management information system security model, the application of genetic algorithm is deeply studied. First of all, the improved method of the safety model of mine hoist management information system is discussed. Secondly, the evaluation method of mine hoist management information system safety model is researched. Finally, a case study is carried out. The results show that the method based on genetic algorithm and RBF neural network The coal mine elevator management information system safety evaluation model has good self-adaptability. At the same time, comparing the risk value of improving the mine hoist management information system safety model and the traditional mine hoist management information system safety model, the analysis results show that the improvement The coal mine hoist management information system security model is more secure.