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

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 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...

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Bibliographic Details
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
нейронная сеть
ограниченные машины Больцмана
ультрадисперсные частицы 25
прогнозирование
нейронна мережа
обмежені машини Больцмана
ультрадисперсні частки 2
5
прогнозування
Online Access:http://drsp.ipri.kiev.ua/article/view/126541
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http://drsp.ipri.kiev.ua/article/view/126541

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