Gas Concentration Prediction Based on IWOA-LSTM-CEEMDAN Residual Correction Model

In this study, to further improve the prediction accuracy of coal mine gas concentration and thereby preventing gas accidents and improving coal mine safety management, the standard whale optimisation algorithm’s (WOA) susceptibility to falling into local optima, slow convergence speed, and low pred...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 22; číslo 12; s. 4412
Hlavní autori:	Xu, Ningke, Wang, Xiangqian, Meng, Xiangrui, Chang, Haoqian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 10.06.2022 MDPI
Predmet:	Accuracy Algorithms CEEMDAN decomposition and reconstruction coal mine safety Coal mining Data processing Datasets Decomposition Deep learning gas concentration prediction Geology LSTM Machine learning Mathematical models Mines Neural networks Trends whale optimisation algorithm China
ISSN:	1424-8220, 1424-8220
On-line prístup:	Získať plný text
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