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eNauka >  Rezultati >  Optimizing long-short term memory neural networks for electroencephalogram anomaly detection using variable neighborhood search with dynamic strategy change
Naziv: Optimizing long-short term memory neural networks for electroencephalogram anomaly detection using variable neighborhood search with dynamic strategy change
Autori: B. Radomirovic; N. Bacanin  ; L. Jovanovic ; V. Simic  ; A. Njegus  ; D. Pamucar  ; M. Köppen; M. Zivkovic  
Godina: 2024
Publikacija: Complex & Intelligent Systems
ISSN: 2198-6053 Complex & Intelligent Systems Pretraži identifikator
Tip rezultata: Naučni članak
Kolacija: str. 1-23
DOI: 10.1007/s40747-024-01592-z
WoS-ID: 001287961700003
Scopus-ID: 2-s2.0-85201293574
URI: https://enauka.gov.rs/handle/123456789/929480
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10117
https://link.springer.com/article/10.1007/s40747-024-01592-z
URL: https://link.springer.com/article/10.1007/s40747-024-01592-z
M-kategorija: 
21M21 - Vodeći međunarodni časopis kategorije M21

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