Neural network committee to predict the AMEn of poultry feedstuffs-Reference-Cited by-同舟云学术

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Neural network committee to predict the AMEn of poultry feedstuffs

Published:2014-08-01 Issue:7-8 Volume:25 Page:1903-1911
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Mariano F. C. M. Q.,Lima R. R.,Alvarenga R. R.,Rodrigues P. B.,Lacerda W. S.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-014-1680-3.pdf

Reference32 articles.

1. Ahmadi H, Mottaghitalab M, Nariman-Zadeh N (2007) Group method of data handling-type neural network prediction of broiler performance based on dietary metabolizable energy, methionine, and lysine. J Appl Poult Res 16:494–501. doi: 10.3382/japr.2006-00074

2. Ahmadi H, Golian A, Mottaghitalab M, Nariman-Zadeh N (2008) Prediction model for true metabolizable energy of feather meal and poultry offal meal using group method of data handling-type neural network. Poult Sci 87:1909–1912. doi: 10.3382/ps.2007-00507

3. Alvarenga RR, Rodrigues PB, Zangeronimo MG, Freitas RTF, Lima RR, Bertechini AG, Fassani EJ (2011) Energetic values of feedstuffs for broilers determined with in vivo assays and prediction equations. Anim Feed Sci Technol 168:257–266. doi: 10.1016/j.anifeedsci.2011.04.092

4. Bishop CM (1995) Neural networks for pattern recognition. Oxford University Press, Oxford, UK

5. Bucene LC, Rodrigues LHA (2004) Utilização de redes neurais artificiais para avaliação de produtividade do solo, visando classificação de terras para irrigação. Revista Brasileira de Engenharia Agrícola e Ambiental 8:326–329. doi: 10.1590/S1415-43662004000200025

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ensemble of hybrid Bayesian networks for predicting the AMEn of broiler feedstuffs;Computers and Electronics in Agriculture;2022-07

2. Application of Bayesian networks to the prediction of the AMEn: a new methodology in broiler nutrition;Translational Animal Science;2021-01-01

3. Committee neural network and weighted multiple regression to predict the energetic values of poultry feedstuffs;Pesquisa Agropecuária Brasileira;2020

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