Replacing SVD in ELM with LU, Hessenberg, Schur, Gram-Schmidt or Householder decompositions speeds training on large EEG BCI data, with Hessenberg preferred for pace and Householder for accuracy.
IEEE Transactions on Neural Networks and Learning Systems 23(2), 365–371 (2012) [1]
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On improving learning capability of ELM and an application to brain-computer interface
Replacing SVD in ELM with LU, Hessenberg, Schur, Gram-Schmidt or Householder decompositions speeds training on large EEG BCI data, with Hessenberg preferred for pace and Householder for accuracy.