Improving extreme learning machine by a level-based learning swarm optimizer and its application to fault diagnosis of 3d printers

Jianyu Long, Ying Hong, Shaohui Zhang, Diego Cabrera, Jingjing Zhong

Research output: Contribution to journalArticlepeer-review

1 Scopus citations
Original languageEnglish
Pages (from-to)2972-2981
Number of pages10
JournalInternational Journal of Performability Engineering
Volume15
Issue number11
DOIs
StatePublished - 1 Jan 2019

Bibliographical note

Funding Information:
This work is supported in part by the National Natural Science Foundation of China (No. 71801046, 51775112, and 51605406), Natural Science Foundation of Guangdong Province (No. 2018A030310029), Youth Innovative Talent Project (No. 2017KQNCX191) from the Department of Education of Guangdong Province, DGUT Research Project (KCYKYQD2017011), and Research Start-up Funds of DGUT (No. GC300501-12 and GC300501-26).

Publisher Copyright:
© 2019 Totem Publisher, Inc. All rights reserved.

Keywords

  • Evolutionary extreme learning machine
  • Extreme learning machine
  • Fault diagnosis
  • Level-based learning swarm particle
  • Metaheuristic

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