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A novel intelligent diagnosis method using optimal LS-SVM with improved PSO algorithm

Crossref DOI link: https://doi.org/10.1007/s00500-017-2940-9

Published Online: 2017-11-24

Published Print: 2019-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Deng, Wu

Yao, Rui

Zhao, Huimin

Yang, Xinhua

Li, Guangyu
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (51475065)

National Natural Science Foundation of China (51605068)

National Natural Science Foundation of China (61771087)

National Natural Science Foundation of China (U1433124)
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Article History

First Online: 24 November 2017

Compliance with ethical standards

:

: The authors declare that they have no conflicts of interest.

: This article does not contain any studies with human participants performed by any of the authors.