20.500.12556/DKUM-91245 Učenje s prenosom znanja z uporabo rekurentnih nevronskih mrež za namen napovedovanja cen živil magistrsko delo Utilization of transfer learning with recurrent neural networks for grocery price forecasting Živila so osnovne dobrine z velikim vplivom na gospodarsko in družbeno stabilnost, zato je natančno napovedovanje njihovih cen ključno. Modeli globokega učenja lahko prepoznajo kompleksne vzorce v časovnih vrstah, kot so zgodovinske cene živil. V tej raziskavi smo eksperimentalno primerjali konvencionalni pristop učenja in učenje s prenosom znanja v rekurentnih nevronskih mrežah za napovedovanje cen. Po iskanju optimalnih hiperparametrov smo modele naučili nad podatki, uporabili prenos znanja in ovrednotili oba pristopa. Na podlagi pridobljenih rezultatov smo ugotovili, da učenje s prenosom znanja bistveno pospeši proces učenja, vendar na račun slabše napovedne uspešnosti. Kljub temu pa rezultati magistrskega dela prispevajo k razumevanju, kdaj, zakaj in v kakšnih primerih je uporaba učenja s prenosom znanja smiselna izbira. Food is a fundamental commodity with a significant impact on economic and social stability, making accurate price forecasting essential. Deep learning models can identify complex patterns in time series, such as historical food prices. In this study, we experimentally compared the conventional learning approach with transfer learning in recurrent neural networks for price forecasting. After identifying optimal hyperparameters, we trained the models, applied transfer learning, and evaluated both approaches. Based on the obtained results, we found that transfer learning significantly accelerates the learning process, though at the cost of predictive performance. Nevertheless, the results of this master’s thesis contribute to understanding when, why, and in what scenarios transfer learning is a sensible choice. napovedovanje cen živil učenje s prenosom znanja RNN analiza časovnih vrst. food price prediction transfer learning RNN time series analysis. true true false [J. Janković] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2024-12-04 12:21:57 2025-01-15 10:14:06 2025-02-13 03:08:46 0000-00-00 00:00:00 2024 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (XI, 73 str.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.85.032.26(043.2) 225867523 MAG_Jankovic_Jana_2024.pdf MAG_Jankovic_Jana_2024.pdf 1 65A0B4FD0D47AF2EEEE060468A51176C cdea1cff0e967bfd6c8ca0e1bb1973f936b5ec091324f87bb9887315eae10ca3 94fa0a2e-b234-11ef-8359-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=187082 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0