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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/58977
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dc.contributor.authorWatts, M.-
dc.contributor.authorWorner, S.-
dc.date.issued2008-
dc.identifier.citationEcological Informatics, 2008; 3(6):354-366-
dc.identifier.issn1574-9541-
dc.identifier.urihttp://hdl.handle.net/2440/58977-
dc.description.statementofresponsibilityMichael J. Watts and S. P. Worner-
dc.language.isoen-
dc.publisherElsevier Science BV-
dc.rightsCopyright © 2008 Elsevier B.V. All rights reserved.-
dc.source.urihttp://dx.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-
dc.identifier.doi10.1016/j.ecoinf.2008.08.003-
pubs.publication-statusPublished-
Appears in Collections:Aurora harvest 5
Earth and Environmental Sciences publications
Environment Institute publications

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