Table 4 Comparison of R2 values for pollutant NO2 across locations.

From: Deep learning framework for hourly air pollutants forecasting using encoding cyclical features across multiple monitoring sites in Beijing

 

DNN-Unencoded

CNN-Unencoded

DNN-Encoded

CNN-Encoded

Aotizhongxin

0.891

0.887

0.89

0.889

Changping

0.87

0.869

0.874

0.876

Dongsi

0.909

0.908

0.909

0.912

Guanyuan

0.916

0.913

0.915

0.914

Huairou

0.863

0.868

0.869

0.872

Nongzhanguan

0.917

0.917

0.919

0.919

Shunyi

0.904

0.902

0.908

0.905

Tiantan

0.906

0.902

0.906

0.906

Wanliu

0.894

0.895

0.895

0.897

Wanshouxigong

0.91

0.909

0.911

0.913

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