Comparison of growth models between artificial neural networks and nonlinear regression analysis in Cherry Valley ducks
نویسنده
چکیده
Currently, artificial neural networks (ANN) are being applied to livestock production as alternatives to regression analysis for forecasting egg prices [1, 2], selecting the feed mix in the feed industry [3], and predicting the amino acid composition of feed ingredients [4, 5]. The advantages of ANN have been reported. Unlike regression analyses, ANN do not require that a mathematical model be specified before prediction. To describe the growth curve in poultry, a sigmoid or S-shaped curve is normally used. This curve is divided into 3 phases, namely, selfaccelerating, linear, and self-decelerating [6], and so responds to nonlinear models [7], such © 2011 Poultry Science Association, Inc.
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