Research Article
[Retracted] A Self-Diagnostic Method for Automobile Faults in Multiple Working Conditions Based on SOM-BPNN
Table 3
Comparison of prediction of BPNN, PNN, LVQ, SOM, and SOM-BPNN.
| | Algorithms | Highest accuracy (%) | Lowest accuracy (%) | Average accuracy (%) | Average consumption time(s) |
| | BPNN | 92.35 | 78.44 | 89.25 | 0.31 | | PNN | 91.88 | 90.14 | 91.25 | 0.13 | | LVQ | 92.51 | 88.74 | 90.75 | 2.41 | | SOM | 92.75 | 92.25 | 92.55 | 0.43 | | SOM-BPNN | 98.90 | 97.31 | 98.75 | 0.45 |
|
|