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基于人工神经网络的煤巷锚杆支护设计研究
引用本文:谢广祥 曹伍富. 基于人工神经网络的煤巷锚杆支护设计研究[J]. 煤炭学报, 1999, 24(6): 599-604
作者姓名:谢广祥 曹伍富
作者单位:淮南工业学院能源开发与管理工程系
摘    要:基于人工神经网络原理,构筑锚杆支护设计多级人工神经网络,在围岩分类的基础上,进行煤巷锚杆支护形式和参数优化设计,应用结果表明,该方法操作简便,可靠性高,具有先进性,有较高的实用价值和广阔的应用前景。

关 键 词:人工神经网络 回采巷道 锚杆支护 参数设计

The study on bolting support design in coal roadway based on artificial neural networks
XIE Guang xiang,CAO Wu fu,WANG De run,MENG Xiang rui,HUA Xin zhu. The study on bolting support design in coal roadway based on artificial neural networks[J]. Journal of China Coal Society, 1999, 24(6): 599-604
Authors:XIE Guang xiang  CAO Wu fu  WANG De run  MENG Xiang rui  HUA Xin zhu
Abstract:On the basis of artificial neural networks theory and surrounding rock classification, the multi level artificial neural networks system about bolt supporting has been constructed to choose support styles, the optimum support parameters and so on The research results show that the multi-level network system is of high reliability, easy operation and advance, and bears a very high practical value and wide application future.
Keywords:artificial neural networks  gateway  bolt supporting  parameters design  
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