Tropospheric Ozone Formation Estimation in Urban City, Bangi, Using Artificial Neural Network (ANN)

Table 1

Detail description of the ANN framework.

Specification	Description
Toolbox	Artificial neural network
Parameter tested	(i) Temperature
	(ii) Relative humidity (%RH)
	(iii) Concentration of nitrogen dioxide
	(iv) UVA rays
	(v) UVB rays
Type of network	Feed-forward back propagation/perceptron
Input layer	Data from previous day (i.e., day 1)
Output layer	The forecasted data based on input data (i.e., day 2)
Targetted range	(i) Ozone: 0.06 ppm
	(ii) NO2: 0.04 ppm
	(iii) Temperature, %RH, UVA, and UVB not specified
Neuron	10 layer