Research Article
Deep Extreme Learning Machine and Its Application in EEG Classification
Table 7
Performance comparison of DELM with ELM, KELM, and MLELM on the BCI competition II dataset IB.
| Dataset | Algorithm | # | Training accuracy | Testing accuracy | Training time (s) | Testing time (s) |
| BCI competition II dataset IB | Basic ELM | Average | 1.0000 ± 0 | 0.5172 ± 0.0395 | 3.4636 ± 0.1255 | 2.0602 ± 0.0670 | Best | 1.0000 | 0.6056 | — | — | KELM | — | 1.0000 | 0.5333 | 0.0738 | 0.1285 | ML-ELM | Average | 0.6145 ± 0.0306 | 0.5219 ± 0.0284 | 10.4225 ± 0.1134 | 0.3970 ± 0.0182 | Best | 0.6750 | 0.5833 | — | — | DELM | Average | 0.7151 ± 0.0485 | 0.5211 ± 0.0266 | 8.9814 ± 0.2085 | 0.2603 ± 0.0231 | Best | 0.8450 | 0.6056 | — | — |
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