Research Article

A Multiple-Kernel Relevance Vector Machine with Nonlinear Decreasing Inertia Weight PSO for State Prediction of Bearing

Table 1

The comparison of the mean absolute percentage errors among NDIWPSO-MkRVM, NDIWPSO-RBFRVM, and NDIWPSO-PolyRVM.

ā€‰Prediction model MAPE (%)

Case 1NDIWPSO-MkRVM11.32
NDIWPSO-RBFRVM11.99
NDIWPSO-PolyRVM12.08

Case 2NDIWPSO-MkRVM 6.44
NDIWPSO-RBFRVM 6.63
NDIWPSO-PolyRVM 7.41

Case 3NDIWPSO-MkRVM12.79
NDIWPSO-RBFRVM13.93
NDIWPSO-PolyRVM12.96