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Can multilayer perceptron ensembles model the ecological niche of freshwater fish species?

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Can multilayer perceptron ensembles model the ecological niche of freshwater fish species?

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Muñoz Mas, R.; Martinez-Capel, F.; Alcaraz-Hernández, JD.; Mouton, AM. (2015). Can multilayer perceptron ensembles model the ecological niche of freshwater fish species?. Ecological Modelling. 309-310:72-81. doi:10.1016/j.ecolmodel.2015.04.025

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/60129

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Title: Can multilayer perceptron ensembles model the ecological niche of freshwater fish species?
Author:
UPV Unit: Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
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Abstract:
The potential of Multilayer Perceptron (MLP) Ensembles to explore the ecology of freshwater fish specieswas tested by applying the technique to redfin barbel (Barbus haasi Mertens, 1925), an endemic and mon-tane species ...[+]
Subjects: Artificial neural networks , Barbus haasi , Data mining , Species distribution modelling , Uncertainty analysis
Copyrigths: Reserva de todos los derechos
Source:
Ecological Modelling. (issn: 0304-3800 )
DOI: 10.1016/j.ecolmodel.2015.04.025
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.ecolmodel.2015.04.025
Thanks:
This study was funded by the Spanish Ministry of Economy and Competitiveness with the project SCARCE (Consolider-Ingenio 2010 CSD2009-00065) and the Universitat Politecnica de Valencia, through the project UPPTE/2012/294 ...[+]
Type: Artículo

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