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. 2015 Jan 15;15(1):1804–1824. doi: 10.3390/s150101804

Table 2.

Comparison between OS-ELM and other methods.

Approaches Number of Calibration Points (Offline + Online) Training Time (s) Testing Time (s) Accuracy (m)
KNN 40 + 0 - 0.108 3.098

Fuzzy KNN 40 + 0 - 0.117 2.728

Batch ELM 40 + 0 11.574 0.113 2.581

OS-ELM 30 + 0 8.101 0.113 2.615
30 + 2 1.204 0.111 2.487
32 + 2 1.213 0.114 2.346
34 + 2 1.182 0.109 2.219
36 + 2 1.226 0.115 2.091
38 + 2 1.229 0.117 1.973