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[Application of Support Vector Machine Regression in Ozone Forecasting].
Su, Xiao-Qian; An, Jun-Lin; Zhang, Yu-Xin; Liang, Jing-Shu; Liu, Jing-da; Wang, Xin.
Afiliação
  • Su XQ; Key Laboratory of Meteorological Disaster, Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 21004
  • An JL; Key Laboratory of Meteorological Disaster, Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 21004
  • Zhang YX; Weather Modification Office of Qinghai Province, Xining 810001, China.
  • Liang JS; Meteorological Observation Centre of China Meteorological Administration, Beijing 100081, China.
  • Liu JD; Key Laboratory of Meteorological Disaster, Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 21004
  • Wang X; Key Laboratory of Meteorological Disaster, Ministry of Education, Joint International Research Laboratory of Climate and Environment Change, Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing 21004
Huan Jing Ke Xue ; 40(4): 1697-1704, 2019 Apr 08.
Article em Zh | MEDLINE | ID: mdl-31087910
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: Zh Revista: Huan Jing Ke Xue Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: Zh Revista: Huan Jing Ke Xue Ano de publicação: 2019 Tipo de documento: Article