Research Article
Multiteam Competitive Optimization Algorithm and Its Application in Bearing Fault Diagnosis
Table 8
The comparison of test sample recognition accuracy for bearing data.
| | Algorithm | Recognition accuracy 1 | Recognition accuracy 2 | Recognition accuracy 3 |
| | K-MTCO | 99.64% (279/280) | 99.64% (279/280) | 99.64% (279/280) | | S-MTCO | 99.29% (278/280) | 99.29% (278/280) | 99.29% (278/280) | | SVM | 98.93% (277/280) | 98.93% (277/280) | 98.93% (277/280) | | BP | 99.29% (278/280) | 98.57% (276/280) | 98.93% (277/280) | | LVQ | 84.64% (237/280) | 85.71% (240/280) | 85.00% (238/280) | | S-PSO | 98.93% (277/280) | 98.21% (275/280) | 98.21% (275/280) |
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