Research Article
Deep Extreme Learning Machine and Its Application in EEG Classification
Table 4
Performance comparison of DELM with ELM, KELM, and MLELM on the BCI competition II dataset IA.
| Dataset | Algorithm | # | Training accuracy | Testing accuracy | Training time (s) | Testing time (s) |
| BCI competition II dataset IA | Basic ELM | Average | 1.0000 ± 0 | 0.8609 ± 0.0187 | 3.3670 ± 0.0866 | 2.2361 ± 0.0498 | Best | 1.0000 | 0.9078 | — | — | KELM | — | 0.8582 | 0.9010 | 0.0754 | 0.1430 | ML-ELM | Average | 0.7849 ± 0.0213 | 0.8642 ± 0.0216 | 9.2012 ± 0.1444 | 0.4820 ± 0.0272 | Best | 0.8358 | 0.9113 | — | — | DELM | Average | 0.7515 ± 0.0161 | 0.8650 ± 0.0224 | 6.7438 ± 0.2099 | 0.2932 ± 0.0290 | Best | 0.7873 | 0.9181 | — | — |
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