Evolutionary cost-sensitive extreme learning machine

L Zhang, D Zhang - IEEE transactions on neural networks and …, 2016 - ieeexplore.ieee.org
Conventional extreme learning machines (ELMs) solve a Moore–Penrose generalized
inverse of hidden layer activated matrix and analytically determine the output weights to …

Evolutionary Cost-Sensitive Extreme Learning Machine

L Zhang, D Zhang - IEEE transactions on neural networks …, 2017 - pubmed.ncbi.nlm.nih.gov
Conventional extreme learning machines (ELMs) solve a Moore-Penrose generalized
inverse of hidden layer activated matrix and analytically determine the output weights to …

[引用][C] Evolutionary Cost-Sensitive Extreme Learning Machine

L Zhang, D Zhang - IEEE Transactions on Neural Networks and …, 2017 - cir.nii.ac.jp
Evolutionary Cost-Sensitive Extreme Learning Machine | CiNii Research CiNii 国立情報学
研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす 大学 …

Evolutionary Cost-sensitive Extreme Learning Machine

L Zhang, D Zhang - arXiv preprint arXiv:1505.04373, 2015 - arxiv.org
Conventional extreme learning machines solve a Moore-Penrose generalized inverse of
hidden layer activated matrix and analytically determine the output weights to achieve …

Evolutionary Cost-sensitive Extreme Learning Machine

L Zhang, D Zhang - arXiv e-prints, 2015 - ui.adsabs.harvard.edu
Conventional extreme learning machines solve a Moore-Penrose generalized inverse of
hidden layer activated matrix and analytically determine the output weights to achieve …

Evolutionary Cost-Sensitive Extreme Learning Machine.

L Zhang, D Zhang - IEEE Transactions on Neural Networks and …, 2016 - europepmc.org
Evolutionary Cost-Sensitive Extreme Learning Machine. - Abstract - Europe PMC Sign in |
Create an account https://orcid.org Europe PMC Menu About Tools Developers Help Contact …

Evolutionary Cost-Sensitive Extreme Learning Machine

L Zhang, D Zhang - IEEE Transactions on Neural Networks and Learning …, 2017 - infona.pl
Conventional extreme learning machines (ELMs) solve a Moore–Penrose generalized
inverse of hidden layer activated matrix and analytically determine the output weights to …