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eNauka >  Results >  Prediction of metabolizable energy content of poultry feedstuffs – response surface methodology vs. Artificial neural network approach
Title: Prediction of metabolizable energy content of poultry feedstuffs – response surface methodology vs. Artificial neural network approach
Authors: Čolović, Radmilo ; Pezo, Lato  ; Dragan Palić
Issue Date: 2015
Publication: Bulgarian Journal of Agricultural Science
ISSN: 1310-0351 Bulgarian Journal of Agricultural Science Search Idenfier
Publisher: National Centre for Agrarian Sciences
Type: Article
Collation: vol. 21 br. 5 str. 1069-1075
Scopus-ID: 2-s2.0-84945257337
URI: https://enauka.gov.rs/handle/123456789/132438
http://www.agrojournal.org/21/05-24.pdf
https://riofh.iofh.bg.ac.rs/handle/123456789/412
URL: http://www.agrojournal.org/21/05-24.pdf
Metadata source: Migracija
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