Accurate multi-objective prediction of CO<sub>2</sub> emission performance indexes and industrial structure optimization using multihead attention-based convolutional neural network.

Wu, Fenger; He, Jiaan; Cai, Liangyu; Du, Minzhe; Huang, Mingzhi

Accurate multi-objective prediction of CO₂ emission performance indexes and industrial structure optimization using multihead attention-based convolutional neural network.

Wu, Fenger; He, Jiaan; Cai, Liangyu; Du, Minzhe; Huang, Mingzhi.

Afiliación

Wu F; School of Economics and Management, South China Normal University, Guangzhou, Guangdong 510006, PR China.
He J; SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, PR China.
Cai L; Guangdong Guangya High School, Guangzhou, Guangdong 510145, PR China.
Du M; School of Economics and Management, South China Normal University, Guangzhou, Guangdong 510006, PR China. Electronic address: minzhe_du@126.com.
Huang M; SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment, School of Environment, South China Normal University, Guangzhou 510006, PR China. Electronic address: mingzhi.hu

J Environ Manage ; 337: 117759, 2023 Jul 01.

Article en En | MEDLINE | ID: mdl-36948144

Asunto(s)

Dióxido de Carbono; Carbono; Industrias; Redes Neurales de la Computación; Proyectos de Investigación

Palabras clave

Carbon emission; Convolutional neural network; Industrial structure optimization; Multi-objective prediction; Multihead attention mechanism

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carbono / Dióxido de Carbono Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Environ Manage Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo

Añadir a Mi BVS

Imprimir

XML

PubMed Links

Buscar en Google