Gas concentration prediction based on SSA algorithm with CNN-BiLSTM-attention

Accurate prediction of coal mine gas concentration is a crucial prerequisite for preventing gas exceed and disasters. However, the existing methods still suffer from issues such as low data utilization, difficulty in effectively integrating multivariate nonlinear spatiotemporal features, and poor ge...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Scientific reports Ročník 15; číslo 1; s. 34214 - 13
Hlavní autoři:	Xing, Wenjing, Yang, Yanguo, Zhang, Yanxin, Yang, Yong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 01.10.2025 Nature Publishing Group Nature Portfolio
Témata:	639/166 639/4077 639/705 704/172 Accuracy Algorithms Artificial intelligence Attention mechanism Coal mines Concentration prediction Deep learning Foraging behavior Forecasting Gas concentration Humanities and Social Sciences Integrated approach Machine learning Mining multidisciplinary Neural networks Occupational safety Optimization algorithms Predictions Science Science (multidisciplinary) Sparrow optimization algorithm Support vector machines Time series Wind speed Deep learning Sparrow optimization algorithm Attention mechanism Concentration prediction Gas concentration
ISSN:	2045-2322, 2045-2322
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!