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Predicting ground-level ozone concentrations by adaptive Bayesian model averaging of statistical seasonal models
Journal article
Stochastic Environmental Research and Risk Assessment, 2018,Volume: 32,Issue: 5,Page: 1283-1297
Authors:
Mok, K. M.
;
Yuen, K. V.
;
Hoi, K. I.
;
Chao, K. M.
;
Lopes, D.
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View/Download:28/0
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TC[WOS]:
5
TC[Scopus]:
7
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Submit date:2018/10/30
Adaptive Bayesian Model Averaging
Kalman Filter
Model Switching
Ozone Prediction
Statistical Model
Rare Events Forecasting Using a Residual-Feedback GMDH Neural Network
Conference paper
Proceedings - 12th IEEE International Conference on Data Mining Workshops, ICDMW 2012, Brussels, Belgium, 10-13 Dec. 2012
Authors:
Simon Fong
;
Zhou Nannan
;
Raymond K. Wong
;
Xin-She Yang
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TC[WOS]:
8
TC[Scopus]:
8
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Submit date:2019/02/13
Data Pre-processing
Earthquake Prediction
Gmdh
Ground Ozone
Neural Network
Time Series Forecasting