摘要
通过分析综采工作面支护系统以及液压支架的特点,从开采参数和煤层赋存条件两个方面总结了影响工作面支护系统可靠性的因素。利用BP人工神经网络算法,建立了基于8-4-1模型的支护系统可靠性分析模型,通过对不同样本的计算,发现预测结果比较精确,能够为下一步的工作提供数据。
ased on the analysis of supporting system of fully mechanized mining face and characteristics of hydraulic support,the paper summarized factors influencing the reliability of working face supporting system from two aspects ：mining parameters and coal seam occurrence conditions.The reliability analysis model of the support system based on 8-4-1 model is established by using BP artificial neural network algorithm.It is found that the prediction results are accurate and can provide the data for the next work through the calculation of different samples.
出处
《江西煤炭科技》
2017年第1期4-6,共3页
Jiangxi Coal Science & Technology
关键词
人工神经网络
综采
支护
可靠性
artificial neural network
fully mechanized mining
support
reliability
