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Article

Nonlinear Optimization of Recurrent Neural Networks in the Prediction of Air Quality

2025-12-05

Abstract excerpt

<title>Abstract</title> <p>Ambient air pollution remains a major threat to public health, particularly in low- and middle-income countries where monitoring infrastructure is often limited. Fine particulate matter (PM2.5) is of particular concern due to its strong association with respiratory and cardiovascular diseases. This study presents a nonlinear optimization framework designed to enhance the predictive perf...

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Identifiers and source

Literature Corpus work
9670697e-1a87-5c49-8e75-271d38458b7c
DOI
10.21203/rs.3.rs-8212332/v1
Open publication

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Nonlinear Optimization of Recurrent Neural Networks in the Prediction of Air QualityDOI 10.21203/rs.3.rs-8212332/v1
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