A Multi-Strategy Marine Predator Algorithm and Its Application in Joint Regularization Semi-Supervised ELM

A Multi-Strategy Marine Predator Algorithm and Its Application in Joint Regularization Semi-Supervised ELM

A novel semi-supervised learning method is proposed to better utilize labeled and unlabeled samples to improve classification performance. However, there is exists the limitation that Laplace regularization in a semi-supervised extreme learning machine (SSELM) tends to lead to poor generalization ab...

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Bibliographic Details
Main Authors: Wenbiao Yang, Kewen Xia, Tiejun Li, Min Xie, Fei Song
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Mathematics
Subjects:
marine predator algorithm
learning strategy
semi-supervised extreme learning machine
oil layer identification
Online Access:https://www.mdpi.com/2227-7390/9/3/291

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