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dc.contributor.authorWatts, Michael J.en
dc.contributor.authorWorner, Susan P.en
dc.date.accessioned2007-12-12T22:57:09Z
dc.date.issued2007en
dc.identifier.isbn978-0-86476-176-7en
dc.identifier.issn1177-7435en
dc.identifier.other1en
dc.identifier.urihttps://hdl.handle.net/10182/208
dc.description.abstractThis document is the initial report on a systematic approach to the application of MLP to the aphid prediction problem. The aims of this initial work are three-fold; to investigate the effectiveness of a particular representation of the data, to identify the approximate optimal topology for MLP applied to this problem, and to identify the approximate optimal training parameters for MLP applied to this problem.en
dc.format.extent1-23en
dc.language.isoenen
dc.publisherBio-Protection & Ecology Divisionen
dc.relationThe original publication is available from - Bio-Protection & Ecology Divisionen
dc.subjectmulti-layer perceptronsen
dc.subjectneural networksen
dc.subjectaphidsen
dc.subjectperceptronsen
dc.titleUsing multi-layer perceptrons to model the Lincoln aphid data seten
dc.typeReport
dc.subject.marsdenFields of Research::300000 Agricultural, Veterinary and Environmental Sciences::300800 Environmental Science::300801 Environmental management and rehabilitationen
dc.subject.marsdenFields of Research::270000 Biological Sciences::270500 Zoology::270505 Entomologyen
lu.contributor.unitLincoln Universityen
lu.contributor.unitBio-Protection and Ecologyen
lu.contributor.unitBio-Protection Research Centreen
pubs.organisational-group/LU
pubs.organisational-group/LU/BPEC
pubs.organisational-group/LU/BPRC
pubs.publication-statusPublisheden
dc.publisher.placeLincoln University, Christchurchen
lu.subtypeTechnical Reporten


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