Double layer back propagation neural network based on restricted Boltzmann machines for forecasting daily particulate matter 2.5
Particulate matter 2.5 (PM₂.₅) pollution is an actual problem in the modern world and forecasting of the daily concentration of PM₂.₅ 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...
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| Date: | 2017 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Інститут проблем реєстрації інформації НАН України
2017
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| Series: | Реєстрація, зберігання і обробка даних |
| Subjects: | |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/131685 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | Double layer back propagation neural network based on restricted Boltzmann machines for forecasting daily particulate matter 2.5 / Minglei Fu, Chen Wang, Zichun Le, D. Manko // Реєстрація, зберігання і обробка даних. — 2017. — Т. 19, № 3. — С. 53-64. — Бібліогр.: 29 назв. — англ. |