基于模糊神经网络的煤矿安全管理绩效评价

摘要

为了评价煤矿在实际生产中的安全管理,避免在煤矿安全管理方面的人为主观判断,基于煤矿安全评价指标体系,采用模糊神经网络人工智能算法构建煤矿安全评价模型,对煤矿安全管理进行综合评价.建立了煤矿安全评价的模糊神经网络模型,并计算出均方差以及煤矿安全总体满意度,对煤矿安全管理进行客观的评价,得到煤矿安全管理现有优势以及不足,此模型与传统评价方法相比较为简单,并且能够较为客观的对煤矿安全进行评价.%In order to evaluate the coal mine safety management in actual production, Avoid artificial subjective judgment about coal mine safety management. Evaluation system based on coal mine safety, FNNs artificial intelligence algorithms is used to build mine safety evaluation model for comprehensive evaluation of coal mine safety management . Establish a FNNs model of coal mine safety assessment, and calculate the mean squared error and the overall satisfaction of coal mine safety. Evaluation mine safety management objectively, get mine safety management and lack of existing strengths. With the traditional evaluation method of this model is relatively simple, and it could objectively evaluate the safety in coal mine.