Recognition of Process Disturbances for an SPC/EPC Stochastic System Using Support Vector Machine and Artificial Neural Network Approaches

Table 4

AIR for the proposed models (i.e., recognition of all three disturbances).

Proposed approach	Structures or parameters	Shift	Trend	Cycle	AIR
SES	𝐶=8; 𝛾=16;	0.746	0.792	0.808	78.20%
SEA	{2-2-1}	0.746	0.782	0.782	77.00%
	{2-3-1}	0.740	0.786	0.786	77.07%
	{2-4-1}	0.740	0.786	0.786	77.07%
	{2-5-1}	0.740	0.790	0.786	77.20%
	{2-6-1}	0.728	0.784	0.808	77.33%