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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 ![]() ![]() ![]() |
Issue Date: | 2015 | Publication: | Bulgarian Journal of Agricultural Science | ISSN: | 1310-0351![]() ![]() |
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 | M-category: | Mp. category will be shown later |
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