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

Table 2

AIR for the proposed models (i.e., recognition of shift and cycle disturbances).

Proposed approach	Structures or parameters	Shift	Cycle	AIR
SES	𝐶=0.25; 𝛾=0.0625	0.842	0.770	80.60%
SEA	{2-2-1}	0.902	0.706	80.40%
	{2-3-1}	0.902	0.706	80.40%
	{2-4-1}	0.904	0.710	80.70%
	{2-5-1}	0.904	0.710	80.70%
	{2-6-1}	0.902	0.710	80.60%