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

• Date: 2017
• Main Authors: Fu, Minglei, Wang, Chen, Le, Zichun, Manko, Dmytro
• Format: Article
• Language: English
• Published: Інститут проблем реєстрації інформації НАН України 2017
• Subjects: Neural network; restricted Boltzmann machines; Particulate matter 25; Forecasting
• Online Access: http://drsp.ipri.kiev.ua/article/view/126541
• Journal Title: 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...