Table 17 The proposed models’ results for the fire detection problem.
Algorithm | ACDs | AFEs | SR |
|---|---|---|---|
IPFA | 43.22 | 17,421 | 77.11 |
IPALO | 44.11 | 17,214 | 75.22 |
IPPSO | 50.01 | 15,321 | 91.01 |
IPCF-GWO1 | 60.02 | 14,001 | 100 |
IPCF-GWO2 | 38.22 | 19,142 | 45.22 |
IPCF-GWO3 | 44.02 | 17,333 | 71.25 |
IPCF-GWO4 | 47.33 | 16,521 | 81.44 |
IPCF-GWO5 | 46.96 | 16,782 | 82.55 |
IPCF-GWO6 | 43.98 | 17,411 | 77.41 |
CAE-2 | 40.22 | 18,541 | 56.22 |
PGBM + DN-1 | 40.36 | 18,229 | 53.11 |
TIRBM | 44.01 | 17,613 | 76.25 |
RandNet-2 | 47.98 | 16,325 | 85.22 |
ScatNet-2 | 40.11 | 18,013 | 66.99 |
LDANet-2 | 43.75 | 17,012 | 75.36 |
PCANet-2 (softmax) | 47.25 | 16,022 | 81.20 |
SVM + Poly | 40.00 | 18,653 | 57.33 |
SVM + RBF | 40.52 | 18,003 | 68.02 |
DBN-3 | 43.56 | 17,001 | 79.01 |
NNet | 43.11 | 17,532 | 77.11 |
SAA-3 | 46.25 | 16,041 | 86.97 |
EvoCNN | 59.56 | 14,042 | 100 |
