摘要
本文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,预测结果比较精确,能够为下一步的工作提供数据。
In this paper, through the analysis of fully mechanized coal face support system and the characteristics of the hydraulic support, summed up the factors affecting the reliability of the working face support system from mining parameters and coal seam occurrence conditions two aspects. By using BP artificial neural network algorithm, the reliability analysis model of the supporting system is established based on8-4-1 model, through the calculation of different samples, the prediction results are more accurate, which can provide the data for the next step of work.
作者
高超
Gao Chao(Datong coal group Tongxin Coal Mine Co. Ltd., Shanxi Datong 03700)
出处
《山东煤炭科技》
2016年第12期21-22,24,共3页
Shandong Coal Science and 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
