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Comparing Neural Networks and Regression Models for Ozone Forecasting

✍ Scribed by Comrie, Andrew C.


Book ID
120492341
Publisher
Air and Waste Management Association
Year
1997
Tongue
English
Weight
820 KB
Volume
47
Category
Article
ISSN
1096-2247

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## Abstract The accuracy of the wavelet regression (WR) model in monthly streamflow forecasting is investigated in the study. The WR model is improved combining the two methodsβ€”the discrete wavelet transform (DWT) model and the linear regression (LR) modelβ€”for 1‐month‐ahead streamflow forecasting.