Long and short-term memory neural network multicomponent gas quantification correction algorithm based on sparrow search algorithm

This study explores the application of long and short-term memory neural network based on sparrow search algorithm in gas monitoring technology. The SSA-LSTM model is proposed for quantitative monitoring of multi-component gases, and its effectiveness and superiority are verified by utilizing the new algorithm and through experiments, and effective data support is provided for timely warning in the military industry.