Double layer back propagation neural network based on restricted Boltzmann machines for forecasting daily particulate matter 2.5

• Datum: 2017
• Hauptverfasser: Fu, Minglei, Wang, Chen, Le, Zichun, Manko, Dmytro
• Format: Artikel
• Sprache: English
• Veröffentlicht: Інститут проблем реєстрації інформації НАН України 2017
• Schlagworte: Neural network; restricted Boltzmann machines; Particulate matter 25; Forecasting
• Online Zugang: http://drsp.ipri.kiev.ua/article/view/126541
• Назва журналу: Data Recording, Storage & Processing

Particulate matter 2.5 (PM2.5) pollution is an actual problem in the modern world and forecasting of the daily concentration of PM25 is a challenging task for researchers. In this study, a novel neural network model that effec­tively forecasts daily PM2.5 in Hangzhou city was developed in the form o...