Recognition of Mixture Control Chart Pattern Using Multiclass Support Vector Machine and Genetic Algorithm Based on Statistical and Shape Features

Figure 4

Mixture CCPs recognition accuracy results of the four methods: (a) F_MSVM_GA, (b) F_MSVM, (c) D_MSVM, and (d) BP.

(a) Classification results of F_MSVM_GA

(b) Classification results of F_MSVM

(c) Classification results of D_MSVM

(d) Classification results of BP