Research on application of artificial neural network in predicting mining subsidence

被引：0

作者：

Cao, Li-Wen ^{[1
]}

Jiang, Zhen-Quan ^{[1
]}

机构：

[1] Coll. of Mineral Res. and Geosci., China Univ. of Mining and Technol., Xuzhou 221008, China

来源：

Zhongguo Kuangye Daxue Xuebao/Journal of China University of Mining & Technology | 2002年 / 31卷 / 01期

关键词：

Algorithms - Backpropagation - Coal mines - Forecasting - Neural networks;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A new method was put forward for the quantitative prediction of mining subsidence by means of ANN (Artificial Neural Network). Problems of selecting influential factors, establishment of ANN prediction model and its application were discussed. BP algorithm was used for modeling and predicting the mining subsidence. Result shows that the ANN prediction model is theoretically feasible and significant in predicting complex exploitation sink system.

引用

页码：23 / 26