Correlation test.

<div>To address the challenges of increasing carbon dioxide (CO2) emissions and climate change caused by the growth of air traffic, accurate prediction of CO2 emissions in civil aviation has become crucial. This study proposes a CO<sub&...

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Bibliographic Details
Main Author:	Peiwen Zhang (1863202) (author)
Other Authors:	Yunan Luo (7345178) (author), Qian Yu (127062) (author), Zhifeng Zhou (187870) (author)
Published:	2025
Subjects:	Molecular Biology Biotechnology Evolutionary Biology Developmental Biology Infectious Diseases Plant Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified solid theoretical foundation individual position updates increasing carbon dioxide improved back propagation formulating precise energy experimental results demonstrate climate change caused global search ability algorithm &# 8217 div >< p enabling accurate prediction based prediction model civil aviation co bp neural network neural network civil aviation accurate prediction search process based perturbation prediction capability prediction accuracy traditional ssa thereby enhancing study proposes research provides reduction strategies population initialization mutation operation local optima issa algorithm incorporates adaptive error control convergence performance comparative models become crucial air traffic
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Correlation test.

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