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eNauka >  Results >  Metaheuristics Applied to Recurrent Neural Network Optimization in Photovoltaic Production Forecasting, Chapter in LNNS Lecture Notes in Networks and Systems: CML 2025: Computing and Machine Learning, Springer, volume 1613
Title: Metaheuristics Applied to Recurrent Neural Network Optimization in Photovoltaic Production Forecasting, Chapter in LNNS Lecture Notes in Networks and Systems: CML 2025: Computing and Machine Learning, Springer, volume 1613
Authors: M. Antonijevic  ; L. Jovanovic ; M. Zivkovic  ; S. Andjelic; T. Zivkovic  ; S. Malisic; D. Kavitha; N. Bacanin  
Issue Date: 2026
Publication: LNNS Lecture Notes in Networks and Systems: CML 2025: Proceedings of International Conference on Computing and Machine Learning, volume 1613
ISSN: 2367-3370 Search Idenfier
Publisher: Springer, Singapore
Type: Book parts
Collation: str. 403-415
DOI: 10.1007/978-981-95-2875-2_32
URI: http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/11835
https://link.springer.com/chapter/10.1007/978-981-95-2875-2_32
https://enauka.gov.rs/handle/123456789/1027815
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