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

Table 10

Best architectures of 1DCNN with two convolutional layers.

Architecture	Activation function	First kernel size	Second kernel size	RMSE	MAPE	IOA	R^2
CNN	Linear	2	2	19.3009	0.233	0.8723	0.6058
		2	6	19.3982	0.2319	0.8635	0.6018
		4	3	19.3451	0.2348	0.8745	0.604