摘要
煤矿在正常运营过程中,为了保证提升机和井架周围工业广场地表的安全,对矿井井架基础进行了多期沉降观测。文中利用SPSS软件以及BP神经网络模型对井架沉降进行预测分析,成功的预测出了后面两期的沉降数据。通过精度对比分析得出:SPSS软件建立的预测模型能够满足矿山井架沉降分析的精度要求。
The coal in the normal course of mine operations,in order to ensure the hoist and derrick surface safety that broad industrial plant,and a multi — stage settlement observation for the basis of mine derrick.In the paper,the author analyzes the derrick settlement and predicts the later periods of the settlement data using the SPSS and BP neural network model.Through comparative analysis the accuracy of results,the predictive models by the SPSS meet the accuracy requirements of the mine derrick settlement analysis.
出处
《矿山测量》
2014年第2期90-92,7,共3页
Mine Surveying
