Napoved vremena z uporabo strojnega učenja : diplomsko delo

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Title:	Napoved vremena z uporabo strojnega učenja : diplomsko delo
Authors:	ID Vovk, Timi (Author) ID Podgorelec, Vili (Mentor) More about this mentor...
Files:	UN_Vovk_Timi_2021.pdf (1,96 MB) MD5: A251587C8E17786CF8A91C987B42F95B PID: 20.500.12556/dkum/85834765-7585-4e4a-8ed7-006951e20778
Language:	Slovenian
Work type:	Bachelor thesis/paper
Typology:	2.11 - Undergraduate Thesis
Organization:	FERI - Faculty of Electrical Engineering and Computer Science
Abstract:	Strojno učenje se vse bolj uporablja za napoved prihodnjih stanj. V diplomskem delu je preizkušenih več modelov strojnega učenja za napoved vremenskih parametrov s ciljem izdelave čim boljšega. Modeli v enem mahu napovedujejo terminsko zračno temperaturo ali globalno sevanje za prvo, dvanajsto in štiriindvajseto uro. Ustvarjenih je več modelov z različno arhitekturo. Ti so naučeni iz obdelanih in urejenih podatkov pridobljenih iz javno dostopnega arhiva vremena ARSO. V ospredju algoritmov nadzorovanega stojnega učenja sta Elastic Net in GRU. Arhitektura za izdelavo GRU modelov je zgrajena na podlagi predlaganih modelov drugih avtorjev. Najbolje se je izkazal model GRU (60, 30, 10).
Keywords:	nadzorovano strojno učenje, GRU, Elastic Net, temperatura zraka, sončno sevanje
Place of publishing:	Maribor
Place of performance:	Maribor
Publisher:	[T. Vovk]
Year of publishing:	2021
Number of pages:	X, 44 str.
PID:	20.500.12556/DKUM-80113
UDC:	004.85.:519.216(043.2)
COBISS.SI-ID:	83605763
Publication date in DKUM:	18.10.2021
Views:	1245
Downloads:	99
Metadata:
Categories:	KTFMB - FERI
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Licences

License:	CC BY-SA 4.0, Creative Commons Attribution-ShareAlike 4.0 International

Link:	http://creativecommons.org/licenses/by-sa/4.0/
Description:	This Creative Commons license is very similar to the regular Attribution license, but requires the release of all derivative works under this same license.
Licensing start date:	30.08.2021

Secondary language

Language:	English
Title:	Weather forecast with the use of machine learning
Abstract:	Machine learning is often used for future state predictions. In this work there are several different models for weather prediction. Models predict air temperature and global irradiation. The models predict in one go air temperature or global irradiation for first, twelfth and twenty-fourth hour. Multiple models are created with different architecture. These are created from cleaned data from publicly accessible archive of weather data ARSO. Main algorithms used are GRU and elastic net. The GRU architecture is build from models that other authors suggested. The most successful one of them was GRU (60, 30, 10).
Keywords:	supervised machine learning, GRU, Elastic Net, air temperature, global irradiance

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