Table 4 UPPSO-HKELM diagnostic accuracy.
From: A novel hybrid extreme learning machine-based diagnosis model for sensor node faults in aquaculture
Failure rate | Test set accuracy |
---|---|
5 \(\%\) | 99\(\%\) |
10\(\%\) | 99\(\%\) |
15\(\%\) | 99\(\%\) |
20\(\%\) | 98\(\%\) |
From: A novel hybrid extreme learning machine-based diagnosis model for sensor node faults in aquaculture
Failure rate | Test set accuracy |
---|---|
5 \(\%\) | 99\(\%\) |
10\(\%\) | 99\(\%\) |
15\(\%\) | 99\(\%\) |
20\(\%\) | 98\(\%\) |