A preliminary study of the application of artificial neural networks to prediction of milk yield in dairy sheep

Kominakis, A; Abas, Z; Maltaris, I; Rogdakis, E

dc.contributor.author	Kominakis, A	en
dc.contributor.author	Abas, Z	en
dc.contributor.author	Maltaris, I	en
dc.contributor.author	Rogdakis, E	en
dc.date.accessioned	2014-03-01T01:51:27Z
dc.date.available	2014-03-01T01:51:27Z
dc.date.issued	2002	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26296
dc.subject	Artificial Neural Network	en
dc.subject	Dairy Sheep	en
dc.subject	Data Preprocessing	en
dc.subject	Prediction Error	en
dc.subject	Rank Correlation	en
dc.subject	Standard Deviation	en
dc.subject	Days In Milk	en
dc.subject	Litter Size	en
dc.subject	Milk Yield	en
dc.subject	Neural Network	en
dc.title	A preliminary study of the application of artificial neural networks to prediction of milk yield in dairy sheep	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0168-1699(02)00051-0	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0168-1699(02)00051-0	en
heal.publicationDate	2002	en
heal.abstract	The aim of this study was to test the usefulness of artificial neural networks (ANNs) for predicting lactation as well as test-day milk yield(s) in Chios dairy sheep on the basis of a few (2–4) available test-day records at the beginning of a lactation period. The ANN employed was a neural network-like system with some advantages over other ANNs. No	en
heal.journalName	Computers and Electronics in Agriculture	en
dc.identifier.doi	10.1016/S0168-1699(02)00051-0	en