A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach
| Alternative title: | A new PM 2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach |
|---|---|
| Year of publication: |
2023
|
| Authors: | Li, Zhongfei ; Gan, Kai ; Sun, Shaolong ; Wang, Shouyang |
| Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 42.2023, 1, p. 154-175
|
| Subject: | AdaBoost-ensemble | deep learning | hybrid data preprocessing-analysis strategy | LSTM | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Lernprozess | Learning process | Theorie | Theory |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Notes: | Im Hauptitel ist "2,5" tiefgestellt |
| Other identifiers: | 10.1002/for.2883 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
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