Top corner gas concentration prediction using t‐distributed Stochastic Neighbor Embedding and Support Vector Regression algorithms

Summary The excess of gas concentration in the top corner of coal working face has always been the main factor restricting the safe productivity of coal mines. Therefore, the rapid and accurate prediction of top corner gas concentration is an effective method to prevent gas disasters. At the same ti...

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Bibliographic Details
Published in:	Concurrency and computation Vol. 32; no. 14
Main Authors:	Wu, Haibo, Shi, Shiliang, Lu, Yi, Liu, Yong, Huang, Weihong
Format:	Journal Article
Language:	English
Published:	Hoboken, USA John Wiley & Sons, Inc 25.07.2020 Wiley Subscription Services, Inc
Subjects:	Algorithms Coal Coal mines Embedding Feature extraction gas concentration Internet of Things Mining industry Monitoring nonlinear dimensionality reduction Occupational safety prediction Prediction models Principal components analysis Regression analysis Regression models Spatial data Support vector machines SVR top corner t‐SNE
ISSN:	1532-0626, 1532-0634
Online Access:	Get full text
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