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Self-feedback LSTM regression model for real-time particle source apportionment.
Wang, Wei; Xu, Weiman; Deng, Shuai; Chai, Yimeng; Ma, Ruoyu; Shi, Guoliang; Xu, Bo; Li, Mei; Li, Yue.
  • Wang W; Trusted AI System Laboratory, College of Computer Science, Nankai University, Tianjin 300350, China; KLMDASR, Tianjin Key Laboratory of Network and Data Security Technology, Tianjin 300350, China.
  • Xu W; Trusted AI System Laboratory, College of Computer Science, Nankai University, Tianjin 300350, China.
  • Deng S; Trusted AI System Laboratory, College of Computer Science, Nankai University, Tianjin 300350, China.
  • Chai Y; Trusted AI System Laboratory, College of Computer Science, Nankai University, Tianjin 300350, China.
  • Ma R; Trusted AI System Laboratory, College of Computer Science, Nankai University, Tianjin 300350, China.
  • Shi G; State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
  • Xu B; State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China.
  • Li M; Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution Jinan University, Guangzhou 510632, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Qua
  • Li Y; Trusted AI System Laboratory, College of Computer Science, Nankai University, Tianjin 300350, China; KLMDASR, Tianjin Key Laboratory of Network and Data Security Technology, Tianjin 300350, China. Electronic address: iyue80@nankai.edu.cn.
J Environ Sci (China) ; 114: 10-20, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35459476
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Material Particulado Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Material Particulado Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article