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dc.contributor.authorSanzogni, L
dc.contributor.authorKerr, D
dc.contributor.editorS.W.R. Cox and D.L. Schmoldt
dc.date.accessioned2017-05-03T13:31:05Z
dc.date.available2017-05-03T13:31:05Z
dc.date.issued2001
dc.identifier.issn0168-1699
dc.identifier.doi10.1016/S0168-1699(01)00151-X
dc.identifier.urihttp://hdl.handle.net/10072/3942
dc.description.abstractThe accuracy of milk production forecasts on dairy farms using a ffann (feed forward artificial neural network) with polynomial post-processing, is reported. Historical milk production data was used to derive models that are able to predict milk production from farm inputs, using a standard ffann, a ffann with polynomial post-processing and multiple linear regression. Forecasts obtained from the models were then compared with each other. Within the scope of the available data, it was found that the standard ffann did not improve on the multiple regression technique, but the ffann with polynomial post processing did.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier Science
dc.publisher.placeUK
dc.relation.ispartofpagefrom21
dc.relation.ispartofpageto30
dc.relation.ispartofissue1
dc.relation.ispartofjournalComputers and Electronics in Agriculture
dc.relation.ispartofvolume32
dc.subject.fieldofresearchAgricultural, veterinary and food sciences
dc.subject.fieldofresearchInformation and computing sciences
dc.subject.fieldofresearchEngineering
dc.subject.fieldofresearchcode30
dc.subject.fieldofresearchcode46
dc.subject.fieldofresearchcode40
dc.titleMilk Production estimates using feed forward artificial neural networks
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.date.issued2015-05-04T22:05:03Z
gro.hasfulltextNo Full Text
gro.griffith.authorSanzogni, Louis


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