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Pregled bibliografske jedinice broj: 943669

Interpreting Self-Organizing Map errors in the classification of ocean patterns


Matić, Frano; Kalinić, Hrvoje; Vilibić, Ivica
Interpreting Self-Organizing Map errors in the classification of ocean patterns // Computers & geosciences, 119 (2018), 9-17 doi:10.1016/j.cageo.2018.06.006 (međunarodna recenzija, članak, znanstveni)


Naslov
Interpreting Self-Organizing Map errors in the classification of ocean patterns

Autori
Matić, Frano ; Kalinić, Hrvoje ; Vilibić, Ivica

Izvornik
Computers & geosciences (0098-3004) 119 (2018); 9-17

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Self organizing maps ; Error estimation ; Time series analysis ; Outliers and extreme data ; Climate regimes ; Oceanography ; Meteorology

Sažetak
The paper aims to introduce quality measures that can evaluate how well the Self-organizing Maps method performs in transitional stages. The errors have been computed with respect to the spatial and temporal properties of the data and in relation to the data gap significance. Temperature and salinity data collected in the central Adriatic Sea at six stations during 196 field cruises carried out between 1963 and 2011 have been used for the mapping of ocean patterns and computation of the respective errors. The errors resemble both the stability of ocean regimes and variability of patterns that are documented in the investigated region. As the data collection methodology and approach have changed over time, the errors may be a good indication for the presence of bad data in a series, which may then be controlled by other quality-check techniques.

Izvorni jezik
Engleski

Znanstvena područja
Fizika, Geofizika, Interdisciplinarne prirodne znanosti



POVEZANOST RADA


Projekt / tema
HRZZ-IP-06-2016-1955

Ustanove
Institut za oceanografiju i ribarstvo, Split,
Prirodoslovno-matematički fakultet, Split

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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