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eNauka >  Results >  Forecasting Unemployment Rate by VNS-FA Hybrid Algorithm Optimized BiLSTM Network, Chapter in LNNS Lecture Notes in Networks and Systems: WCAIAA 2025: World Conference on Artificial Intelligence: Advances and Applications, Springer, volume 1909
Title: Forecasting Unemployment Rate by VNS-FA Hybrid Algorithm Optimized BiLSTM Network, Chapter in LNNS Lecture Notes in Networks and Systems: WCAIAA 2025: World Conference on Artificial Intelligence: Advances and Applications, Springer, volume 1909
Authors: L. Babic; L. Jovanovic ; A. Petrovic  ; M. Zivkovic  ; V. Marevic; M. Markovic Blagojevic  ; V. Zeljkovic; N. Bacanin  
Issue Date: 2026
Publication: LNNS Lecture Notes in Networks and Systems: WCAIAA 2025: Proceedings of World Conference on Artificial Intelligence: Advances and Applications, volume 1909
ISSN: 2367-3370 Search Idenfier
Publisher: Springer, Cham
Type: Book parts
Collation: str. 52-63
DOI: 10.1007/978-3-032-22289-3_5
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/12111
https://link.springer.com/chapter/10.1007/978-3-032-22289-3_5
https://enauka.gov.rs/handle/123456789/1045289
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