The use of diagnostic ratios, biomarkers and 3-way Kohonen neural networks to monitor the temporal evolution of oil spills

Raquel Fernandez Varela; M. P. Gómez-Carracedo; D. Ballabio; J. M. Andrade

doi:10.1016/j.marpolbul.2015.04.053

The use of diagnostic ratios, biomarkers and 3-way Kohonen neural networks to monitor the temporal evolution of oil spills

Raquel Fernandez Varela, M. P. Gómez-Carracedo, D. Ballabio, J. M. Andrade

Miljøkemi

1 Citationer (Scopus)

Originalsprog	Engelsk
Tidsskrift	Marine Pollution Bulletin
Vol/bind	96
Udgave nummer	1-2
Sider (fra-til)	313-320
Antal sider	8
ISSN	0025-326X
DOI	https://doi.org/10.1016/j.marpolbul.2015.04.053
Status	Udgivet - 15 jul. 2015

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10.1016/j.marpolbul.2015.04.053

Citationsformater

@article{61dfa0e7751b482db6e71bef6365dd97,

title = "The use of diagnostic ratios, biomarkers and 3-way Kohonen neural networks to monitor the temporal evolution of oil spills",

keywords = "Oil spill fingerprint, Diagnostic ratios, Biomarkers, 3-way Kohonen neural networks, GC-MS",

author = "{Fernandez Varela}, Raquel and G{\'o}mez-Carracedo, {M. P.} and D. Ballabio and Andrade, {J. M.}",

year = "2015",

month = jul,

day = "15",

doi = "10.1016/j.marpolbul.2015.04.053",

language = "English",

volume = "96",

pages = "313--320",

journal = "Marine Pollution Bulletin",

issn = "0025-326X",

publisher = "Elsevier",

number = "1-2",

}

TY - JOUR

T1 - The use of diagnostic ratios, biomarkers and 3-way Kohonen neural networks to monitor the temporal evolution of oil spills

AU - Fernandez Varela, Raquel

AU - Gómez-Carracedo, M. P.

AU - Ballabio, D.

AU - Andrade, J. M.

PY - 2015/7/15

Y1 - 2015/7/15

KW - Oil spill fingerprint

KW - Diagnostic ratios

KW - Biomarkers

KW - 3-way Kohonen neural networks

KW - GC-MS

U2 - 10.1016/j.marpolbul.2015.04.053

DO - 10.1016/j.marpolbul.2015.04.053

M3 - Journal article

C2 - 25935805

SN - 0025-326X

VL - 96

SP - 313

EP - 320

JO - Marine Pollution Bulletin

JF - Marine Pollution Bulletin

IS - 1-2

ER -

The use of diagnostic ratios, biomarkers and 3-way Kohonen neural networks to monitor the temporal evolution of oil spills

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