Application of neural network algorithm in predicting gas extraction standards in coal mines

Kai Bian

doi:10.1117/12.3006355

24 October 2023 Application of neural network algorithm in predicting gas extraction standards in coal mines

Kai Bian

Proceedings Volume 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023); 128042G (2023) https://doi.org/10.1117/12.3006355
Event: 2nd International Conference on Sustainable Technology and Management (ICSTM2023), 2023, Dongguan, China

Abstract

In order to solve the problem of more efficient gas drainage activities in high gas mines, a gas drainage prediction method based on time recurrent neural network algorithm is proposed. This method establishes a large-scale data set oriented to historical gas extraction data, carries out high-dimensional data pre-processing, selects short-term memory artificial neural network as the data perception model, integrates multiple in-depth learning algorithms, trains the model and completes the prediction of gas extraction data.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kai Bian "Application of neural network algorithm in predicting gas extraction standards in coal mines", Proc. SPIE 12804, Second International Conference on Sustainable Technology and Management (ICSTM 2023), 128042G (24 October 2023); https://doi.org/10.1117/12.3006355

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