Prediction of NOx emissions from co-disposal of municipal solid waste and sludge using a GA-LSTM neural network

Accurately predicting NOx emissions is crucial for effectively controlling pollution during the incineration of municipal solid waste (MSW). This study focuses on the application of genetic algorithm (GA) and long short-term memory (LSTM) neural networks in modeling the relationship between operatin...

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Publié dans:Environmental technology. - 1993. - 46(2025), 22 vom: 09. Sept., Seite 4475-4492
Auteur principal: Qiu, Bo (Auteur)
Autres auteurs: Yuan, Quan, Niu, Yadong, Mo, Huangxing, Sun, Chao, Feng, Jiezhao
Format: Article en ligne
Langue:English
Publié: 2025
Accès à la collection:Environmental technology
Sujets:Journal Article LSTM MSW incineration NOx emission co-combustion sludge Sewage Air Pollutants Solid Waste Nitrogen Oxides