Content of aliphatic hydrocarbons in limpets as a new way for classification of species using artificial neural networks

被引：20

作者：

Hernández-Borges, J ^{[1
]}

Corbella-Tena, R ^{[1
]}

Rodríguez-Delgado, MA ^{[1
]}

García-Montelongo, FJ ^{[1
]}

Havel, J ^{[1
]}

机构：

[1] Masaryk Univ, Fac Sci, Dept Analyt Chem, CS-61137 Brno, Czech Republic

来源：

CHEMOSPHERE | 2004年 / 54卷 / 08期

关键词：

limpets; N-alkanes; gas chromatography; artificial neural networks;

D O I：

10.1016/j.chemosphere.2003.09.042

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

It is demonstrated that biological species like limpets can be classified according to their level of n-alkanes when artificial neural networks are applied. Marine intertidal and subtidal limpets of the Canary Islands (Spain), Patella piperata, Patella candei crenata and Patella ulyssiponensis aspera were selected as bioindicator organisms. Samples were collected at four stations on the coasts of Fuerteventura. Concentration of n-alkanes in the soft tissues of the limpets has been determined by gas chromatography. Data were treated with artificial neural networks (ANNs) and it was found that using suitable architecture of a supervised artificial neural network, the limpets can be successfully distinguished (classified) up to 98%. (C) 2003 Elsevier Ltd. All rights reserved.

引用

页码：1059 / 1069

页数：11

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