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eNauka >  Results >  Artificial Flora Optimization Algorithm with Genetically Guided Operators for Feature Selection and Neural Network Training
Title: Artificial Flora Optimization Algorithm with Genetically Guided Operators for Feature Selection and Neural Network Training
Authors: Bacanin, Nebojsa  ; Bezdan, Timea  ; Al-Turjman, Fadi; Rashid, Tarik A.
Issue Date: 2022
Publication: International Journal of Fuzzy Systems
ISSN: 1562-2479 International Journal of Fuzzy Systems Search Idenfier
Publisher: Springer international publishing
Type: Article
Collation: vol. 24 br. 5 str. 2538-2559
DOI: 10.1007/S40815-021-01191-X
WoS-ID: 000715011700001
Scopus-ID: 2-s2.0-85118582648
URI: https://enauka.gov.rs/handle/123456789/791858
URL: https://publons.com/wos-op/publon/50068880/
https://link.springer.com/article/10.1007/s40815-021-01191-x
Metadata source: (Preuzeto iz ORCID-a) Bačanin-Džakula, Nebojša
M-category: 
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