Evaluation of Key Parameters Using Deep Convolutional Neural Networks for Airborne Pollution (PM10) Prediction

Table 15

Average result of each individual model.

Architecture	Input	RMSE	MAPE	IOA	R^2
Mean	January data	20.2219	0.2404	0.8608	0.566
	Full data	20.1178	0.2431	0.8635	0.5703
Ensemble with all architectures	January data	18.7889	0.2218	0.8793	0.6264
	Full data	18.9535	0.2266	0.8769	0.6198