Risk Evaluation Model of Coal Spontaneous Combustion Based on AEM-AHP-LSTM
نویسندگان
چکیده
Immediately and accurately assessing the risk of coal spontaneous combustion taking targeted action are crucial steps in prevention control. A new model, AEM-AHP-LSTM, was proposed to solve weight calculation problem multiobjective evaluation process combustion. Firstly, key indicators were analyzed used as factors establish an system. Next, objective subjective weights calculated using AEM AHP, respectively. The then combined, TOPSIS calculate score sample. Finally, obtained samples trained with BP, RBF, LSTM model resolve overdependence on historical data achieve auto-adapt adjustment change. Additionally, from 15 typical Chinese mines applied model. results indicate that, compared BP RBF neural networks, has higher prediction accuracy, stronger generalization ability, practicability. modeling application findings show that AEM-AHP-LSTM better appropriate for assessment This method can potentially be further reliable approach mine disaster risk.
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ژورنال
عنوان ژورنال: Mathematics
سال: 2022
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math10203796