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Comparing Ensemble and Cascaded Neural Networks that Combine Biotic and Abiotic Variables to Predict Insect Species Distribution

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dc.contributor.authorWatts, M.
dc.contributor.authorWorner, S.
dc.date.issued2008
dc.description.statementofresponsibilityMichael J. Watts and S. P. Worner
dc.identifier.citationEcological Informatics, 2008; 3(6):354-366
dc.identifier.doi10.1016/j.ecoinf.2008.08.003
dc.identifier.issn1574-9541
dc.identifier.urihttp://hdl.handle.net/2440/58977
dc.language.isoen
dc.publisherElsevier Science BV
dc.rightsCopyright © 2008 Elsevier B.V. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.ecoinf.2008.08.003
dc.subjectArtificial neural networks
dc.subjectMultilayer perceptrons
dc.subjectNeural network ensembles
dc.subjectInsect crop pests
dc.subjectPest assemblages
dc.subjectHost assemblages
dc.subjectCascaded neural networks
dc.titleComparing Ensemble and Cascaded Neural Networks that Combine Biotic and Abiotic Variables to Predict Insect Species Distribution
dc.typeJournal article
pubs.publication-statusPublished

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