Improving neural network prediction of amino acid levels in feed ingredients-Reference-Cited by-同舟云学术

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Improving neural network prediction of amino acid levels in feed ingredients

Published:1999-07 Issue:7 Volume:78 Page:983-991
ISSN:0032-5791
Container-title:Poultry Science
language:en
Short-container-title:Poultry Science

Author:

Cravener TL,Roush WB

Publisher

Elsevier BV

Subject

Animal Science and Zoology,General Medicine

Link

http://academic.oup.com/ps/article-pdf/78/7/983/4387914/poultrysci78-0983.pdf

Reference20 articles.

1. Application of artificial neural networks to clinical medicine;Baxt;Lancet,1995

2. Avoiding the great propagation trap;Caudill;AI Expert, July,1991

3. Artificial neural network prediction of amino acid levels in feed ingredients: advanced optimization;Cravener;Poultry Sci.,1998

4. Neural network Architecture: An Introduction;Dayhoff,1990

5. The Amino Acid Composition of Feedstuffs;Degussa,1990

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4. Predicting methionine and lysine contents in soybean meal and fish meal using a group method of data handling-type neural network;Spanish Journal of Agricultural Research;2015-02-04

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