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master's thesis
LSTM model za predikciju koncetracije peludi u zraku
2023. urn:nbn:hr:126:005871
Šarlija, Dino
Josip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics

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Šarlija, D. (2023). LSTM model za predikciju koncetracije peludi u zraku (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:005871

Šarlija, Dino. "LSTM model za predikciju koncetracije peludi u zraku." Master's thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2023. https://urn.nsk.hr/urn:nbn:hr:126:005871

Šarlija, Dino. "LSTM model za predikciju koncetracije peludi u zraku." Master's thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, 2023. https://urn.nsk.hr/urn:nbn:hr:126:005871

Šarlija, D. (2023). 'LSTM model za predikciju koncetracije peludi u zraku', Master's thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, accessed 11 April 2024, https://urn.nsk.hr/urn:nbn:hr:126:005871

Šarlija D. LSTM model za predikciju koncetracije peludi u zraku [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics; 2023 [cited 2024 April 11] Available at: https://urn.nsk.hr/urn:nbn:hr:126:005871

D. Šarlija, "LSTM model za predikciju koncetracije peludi u zraku", Master's thesis, Josip Juraj Strossmayer University of Osijek, School of Applied Mathematics and Informatics, Osijek, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:126:005871

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Metadata
TitleLSTM model za predikciju koncetracije peludi u zraku
Title (english)LSTM Model For Predicting Pollen Concetration In The Air
AuthorDino Šarlija
MentorDomagoj Matijević (mentor)
Committee memberKristian Sabo (predsjednik povjerenstva)
Committee memberDomagoj Matijević (član povjerenstva)
Committee memberDomagoj Ševerdija (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
School of Applied Mathematics and Informatics
Osijek
Defense date and country2023-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Abstract
U ovome radu upoznajemo neuronske mreže osmišljene za strojno učenje, obrađujemo funkcije i koncepte koji zajedno oblikuju neuronsku mrežu. Želimo napraviti model neuronske mreže s kojim bi riješili problem preciznog predviđanja budućih događaja na temelju povijesnih podataka. Za problem predikcije koncentracije peludi u zraku koristimo LSTM model te uspoređujemo dobivene rezultate ovisno o zadanim parametrima.
Abstract (english)
In this paper, we introduce neural networks designed for machine learning, discuss the functions and concepts that collectively shape a neural network. We aim to create a neural network model that can solve the problem of accurately predicting future events based on historical data. For the pollen concentration prediction problem, we employ an LSTM model and compare the obtained results based on the specified parameters.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:005871
Study programmeTitle: Mathematics; specializations in: Financial and Statistical Mathematics, Mathematics and Computer Science, Industrial and Applied Mathematics
Course: Financial and Statistical Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-11-06 11:29:12