prikaz prve stranice dokumenta Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements
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Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements
Journal of Marine Science and Engineering, 9(8) (2021); 786. https://doi.org/10.3390/jmse9080786
Bujak, Damjan; Bogovac, Tonko; Carević, Dalibor; Ilic, Suzana; Lončar, Goran

Institucijski repozitorij: Repozitorij Građevinskog fakulteta Sveučilišta u Zagrebu

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Bujak, D., Bogovac, T., Carević, D., Ilic, S. i Lončar, G. (2021). Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements. Journal of Marine Science and Engineering, 9(8).. doi: 10.3390/jmse9080786

Bujak, Damjan, et al. "Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements." Journal of Marine Science and Engineering, vol. 9(8), 2021. https://doi.org/10.3390/jmse9080786

Bujak, Damjan, Tonko Bogovac, Dalibor Carević, Suzana Ilic i Goran Lončar. "Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements." Journal of Marine Science and Engineering 9(8) (2021). https://doi.org/10.3390/jmse9080786

Bujak, D., et al. (2021) 'Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements', Journal of Marine Science and Engineering, 9(8). doi: 10.3390/jmse9080786

Bujak D, Bogovac T, Carević D, Ilic S, Lončar G. Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements. Journal of Marine Science and Engineering [Internet]. 2021. [pristupljeno 24.11.2024.];9(8). doi: 10.3390/jmse9080786

D. Bujak, T. Bogovac, D. Carević, S. Ilic i G. Lončar, "Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements", Journal of Marine Science and Engineering, vol. 9(8), 2021. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:237:798666. [Citirano: 24.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:237:798666
Podaci o radu
Naslov (engleski)Application of Artificial Neural Networks to Predict Beach Nourishment Volume Requirements
AutorDamjan Bujak
AutorTonko Bogovac
AutorDalibor Carević
AutorSuzana Ilic
AutorGoran Lončar
Autorova ustanovaSveučilište u Zagrebu
Građevinski fakultet
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Građevinarstvo
Sažetak (engleski)
The volume of material required for the construction of new and expansion of existing beach sites is an important parameter for coastal management. This information may play a crucial role when deciding which beach sites to develop. This work examines whether artificial neural networks (ANNs) can predict the spatial variability of nourishment requirements on the Croatian coast. We use survey data of the nourishment volume requirements and gravel diameter from 2016 to 2020, fetch length, beach area and orientation derived from national maps which vary from location to location due to a complex coastal configuration on the East Adriatic coast, and wind, tide, and rainfall data from nearby meteorological/oceanographic stations to train and test ANNs. The results reported here confirm that an ANN can adequately predict the spatial variability of observed nourishment volumes (R and MSE for the test set equal 0.87 and 2.24 × 104, respectively). The contributions of different parameters to the ANN’s predictive ability were examined. Apart from the most obvious parameters like the beach length and the beach areas, the fetch length proved to be the most important input contribution to ANN’s predictive ability, followed by the beach orientation. Fetch length and beach orientation are parameters governing the wind wave height and direction and hence are proxies for forcing.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaJournal of Marine Science and Engineering
Brojčani podacivol. 9(8), 786
p-ISSN2077-1312
DOIhttps://doi.org/10.3390/jmse9080786
URN:NBNurn:nbn:hr:237:798666
Datum objave publikacije2021
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-09-04 12:10:13