气候变化领域集成服务门户(CCPortal): A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model

CCPortal

DOI	10.1007/s11069-020-04388-9
	A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model
	Zhang Y.; Yang L.
发表日期	2021
ISSN	0921030X
起始页码	2027
结束页码	2043
卷号	105 期号:2
英文摘要	For water inrush from coal floor, due to different kinds of controlling factors and their internal correlations, the accuracy of prediction model is mostly below expectation. In this paper, it studies on which controlling factors should be selected for water inrush prediction model because all these factors have different influence on water inrush incidents based on the analysis of in situ data. Some factors are proved having limited impacts on water inrush, it is no necessary to collect in situ data of those factors from coal mining work face. Therefore, the workload and expense will decrease. In this paper, an index system of factors influencing water inrush from coal floor is established based on the current water inrush controlling theory and detailed analysis of in situ data obtained from mining regions. Following the Wrapper method in feature selection, 10 main controlling factors were selected from 14 existing indicators which were thought could affect water inrush. After training on dynamic GRU model which is made for water inrush prediction, a comparison among dynamic GRU model and stable SVM and BPMN models turns out the advantages of the previous with a higher accuracy in train, validation and test set against the latter. It is believed GRU model is able to predict water inrush water inrush from coal floor with high accuracy and hence enhances mining safety. © 2020, Springer Nature B.V.
关键词	Dynamic prediction Feature selection Gated recurrent unit neural network Water inrush from coal floor
英文关键词	artificial neural network; back propagation; coal mine; numerical model; prediction; support vector machine
语种	英语
来源期刊	Natural Hazards
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/206716
作者单位	Department of Geotechnical Engineering, Tongji University, Shanghai, 200092, China; School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, 221000, China; China Geological Survey, Beijing, 100037, China; Department of Earth and Environmental Sciences, University of Manchester, Manchester, M13 9PL, United Kingdom
推荐引用方式 GB/T 7714	Zhang Y.,Yang L.. A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model[J],2021,105(2).
APA	Zhang Y.,&Yang L..(2021).A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model.Natural Hazards,105(2).
MLA	Zhang Y.,et al."A novel dynamic predictive method of water inrush from coal floor based on gated recurrent unit model".Natural Hazards 105.2(2021).