prikaz prve stranice dokumenta Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data
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Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data
Journal of Marine Science and Engineering, 9 (2021), 4; 439. https://doi.org/10.3390/jmse9040439
Lopac, Nikola; Jurdana, Irena; Lerga, Jonatan; Wakabayashi, Nobukazu

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Lopac, N., Jurdana, I., Lerga, J. i Wakabayashi, N. (2021). Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data. Journal of Marine Science and Engineering, 9. (4), 439. doi: 10.3390/jmse9040439

Lopac, Nikola, et al. "Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data." Journal of Marine Science and Engineering, vol. 9, br. 4, 2021, str. 439. https://doi.org/10.3390/jmse9040439

Lopac, Nikola, Irena Jurdana, Jonatan Lerga i Nobukazu Wakabayashi. "Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data." Journal of Marine Science and Engineering 9, br. 4 (2021): 439. https://doi.org/10.3390/jmse9040439

Lopac, N., et al. (2021) 'Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data', Journal of Marine Science and Engineering, 9(4), str. 439. doi: 10.3390/jmse9040439

Lopac N, Jurdana I, Lerga J, Wakabayashi N. Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data. Journal of Marine Science and Engineering [Internet]. 18.04.2021. [pristupljeno 16.02.2025.];9(4):439. doi: 10.3390/jmse9040439

N. Lopac, I. Jurdana, J. Lerga i N. Wakabayashi, "Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data", Journal of Marine Science and Engineering, vol. 9, br. 4, str. 439, Travanj 2021. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:187:840262. [Citirano: 16.02.2025.]

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Naslov (engleski)Particle-Swarm-Optimization-Enhanced Radial-Basis-Function-Kernel-Based Adaptive Filtering Applied to Maritime Data
AutorNikola Lopac
AutorIrena Jurdana
AutorJonatan Lerga
AutorNobukazu Wakabayashi
Autorova ustanovaSveučilište u Rijeci
Pomorski fakultet
Autorova ustanovaSveučilište u Rijeci
Tehnički fakultet
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Tehnologija prometa i transport
Sažetak (engleski)
The real-life signals captured by different measurement systems (such as modern maritime transport characterized by challenging and varying operating conditions) are often subject to various types of noise and other external factors in the data collection and transmission processes. Therefore, the filtering algorithms are required to reduce the noise level in measured signals, thus enabling more efficient extraction of useful information. This paper proposes a locally-adaptive filtering algorithm based on the radial basis function (RBF) kernel smoother with variable width. The kernel width is calculated using the asymmetrical combined-window relative intersection of confidence intervals (RICI) algorithm, whose parameters are adjusted by applying the particle swarm optimization (PSO) based procedure. The proposed RBF-RICI algorithm’s filtering performances are analyzed on several simulated, synthetic noisy signals, showing its efficiency in noise suppression and filtering error reduction. Moreover, compared to the competing filtering algorithms, the proposed algorithm provides better or competitive filtering performance in most considered test cases. Finally, the proposed algorithm is applied to the noisy measured maritime data, proving to be a possible solution for a successful practical application in data filtering in maritime transport and other sectors.
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, br. 4, str. 439, 439
e-ISSN2077-1312
DOIhttps://doi.org/10.3390/jmse9040439
URN:NBNurn:nbn:hr:187:840262
Datum objave publikacije2021-04-18
URL dokumentahttps://www.mdpi.com/2077-1312/9/4/439
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2024-12-23 08:27:29