Results

eNauka >  Rezultati >  Oil Price Prediction Approach Using Long Short-Term Memory Network Tuned by Improved Seagull Optimization Algorithm
Naziv: Oil Price Prediction Approach Using Long Short-Term Memory Network Tuned by Improved Seagull Optimization Algorithm
Autori: L. Jovanovic; N. Bacanin  ; A. Jovancai  ; D. Jovanovic; D. Singh; M. Antonijevic  ; M. Zivkovic  ; I. Strumberger 
Godina: 2023
Publikacija: AIS Algorithms for Intelligent Systems: ICSISCET 2022: Artificial Intelligence and Sustainable Computing
Izdavač: Springer, Singapore
Tip rezultata: Poglavlje u monografiji
Kolacija: str. 253-265
DOI: 10.1007/978-981-99-1431-9_20
URI: https://link.springer.com/chapter/10.1007/978-981-99-1431-9_20
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/9559
https://enauka.gov.rs/handle/123456789/788784
URL: https://www.researchgate.net/publication/374150229_Oil_Price_Prediction_Approach_Using_Long_Short-Term_Memory_Network_Tuned_by_Improved_Seagull_Optimization_Algorithm
M-kategorija: 
Mp kategorija će biti prikazana naknadno.

Altmetric
Dimensions
Unpaywall

Google ScholarTM

Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.