中文摘要：

依据人因可靠性原理、事故致因理论，结合煤矿生产系统的特点，提出了观测可靠度的概念，确立了一系列便于统计和赋值的人因可靠性评价指标。针对人因失误事件过程的动态性、复杂性以及数据的不完整性，利用径向基（ RBF）神经网络学习速度快、抗干扰能力强的特点，建立了基于RBF神经网络的煤矿作业人员人因可靠性评价模型。对于岗位工龄短或有效记录不足的煤矿作业人员，利用训练好的RBF神经网络模型进行人因可靠性评价，经过实例验算证实了模型的可信性。

英文摘要：

Based on the human reliability principle and accident causation theory , combining with the characteris-tics of coalmine production systems , the concept of observed reliability was put forward , and a series of evaluation indices for human reliability being facilitated to statistics and assign were established .An evaluation model for hu-man reliability of coalmine workers based on RBF neural network was proposed and constructed in light of the dy -namic and complicated accident process and data imperfection of human errors , considering about the fast learning speed and strong anti-interference characteristics of RBF neural network .The optimized RBF neural network model was applied to evaluate the human reliability of workers with short job seniority or insufficient job record , and the model was verified to be credible by checking up actual examples .