首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于神经网络的采空塌陷预测
引用本文:慎乃齐,杨建伟,郑惜平.基于神经网络的采空塌陷预测[J].煤田地质与勘探,2001,29(3):42-44.
作者姓名:慎乃齐  杨建伟  郑惜平
作者单位:1. 中国地质大学工程技术学院,
2. 深圳市建设土石方机械工程公司,
摘    要:依据某煤炭开采区的勘察资料,综合考虑影响采空塌陷的主要因素,建立了预测采空塌陷的BP神经网络模型。该模型结构为7-10-12型,优化学习参数后,用该模型对采空区塌陷进行了预测分析,结果与实际情况完全吻合,表明BP神经网络模型应用于采空塌陷预测领域是行之有效的。

关 键 词:BP神经网络模型  煤炭开采区  地面塌陷  采空区  地质灾害
文章编号:1001-1986(2001)03-0042-02

Prediction of mining collapse based on neural network
SHEN Nai-qi,YANG Jian-wei,ZHENG Xi-ping.Prediction of mining collapse based on neural network[J].Coal Geology & Exploration,2001,29(3):42-44.
Authors:SHEN Nai-qi  YANG Jian-wei  ZHENG Xi-ping
Institution:SHEN Nai qi 1,YANG Jian wei 1,ZHENG Xi ping 2
Abstract:It is introduced that the BP neural network model of prediction of mining collapse is established based on the survey′s data and main factors at a mine field where the collapse had happen.The model structure is 7-10-2.After several learning parameters are optimized,the prediction of mining collapse at the field is made with this model.The results show that BP neural network model is feasible and effective in prediction of mining collapse.
Keywords:mining collapse  BP neural network model  prediction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号