摘要
以大量调查数据为基础，建立了缓倾斜薄煤层采煤方式选择的人工神经元网络模型，该模型较全面地考虑了影响采煤方式选择的因素和现场专家经验，能准确地识别各种开采条件下缓倾斜薄煤层采煤方式。
Based on a lot of investigation data, an artifical neural network model is establi shed for distinguishing mining way of gently inclined low coal seam. The factor and experience of mining export that affect the selection of mining way are comprehensively considered in the model. The different mining way of gently inclined low coal seam can be exactly distinguished at different mining condition.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
1998年第11期57-60,116,共5页
Systems Engineering-Theory & Practice
基金
煤炭工业部一般项目
关键词
人工神经网络
薄煤层
采煤
网络模型
artifical neural network
gently inclined low coal seam
mining way
