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Compound fault diagnosis for cooling dehumidifier based on RBF neural network improved by kernel principle component analysis and adaptive genetic algorithm

Crossref DOI link: https://doi.org/10.1007/s00500-022-07509-7

Published Online: 2022-09-30

Published Print: 2023-02

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

Authors

Gao, Yunguang http://orcid.org/0000-0001-6118-0322
Ma, Changlin

Sheng, An
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Text and Data Mining valid from 2022-09-30

Version of Record valid from 2022-09-30
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Article History

Accepted: 24 August 2022

First Online: 30 September 2022

Change Date: 18 November 2022

Change Type: Correction

Change Details: A Correction to this paper has been published:

Change Details: https://doi.org/10.1007/s00500-022-07648-x

Declarations

:

: The authors have not disclosed any competing interests.

Updates are available Correction dated 2022-11-18

Click to view Correction: https://doi.org/10.1007/s00500-022-07648-x