Asian Journal of Animal and Veterinary Advances1683-99191996-3289Academic Journals Inc.10.3923/ajava.2008.222.229EdrissM.A.HosseinniaP.EdrisiM.RahmaniH.R.NilforooshanM.A.4200834A mathematical model for prediction of second parity milk yield and fat
percentage, with the use of first parity information seems to be helpful
in order to predict the performance of prospective productive cows. As
a tool for this prediction, back propagation neural network and multiple
linear regression methods were compared based on their prediction differences
with observed values. While, multiple linear regressions are based on
linear relationships between variables, artificial neural network system
also considers non-linear relationships between parameters. Data was collected
from 4 medium sized dairy herds in Isfahan, Iran, which was divided into
three parts in order to train, verify and test the artificial neutral
network system and estimation of regression coefficients, verify and test
the multiple linear regression method. The results of the simulation showed
that evaluations from both multiple linear regression and artificial neural
network methods are good predictors for second parity production estimated
from first parity information. However, artificial neural network predictions
showed lower differences with the observed values and better quality parameters
than multiple linear regression predictions, which made this assumption
that artificial neural network system is more accurate in prediction.]]>Adamczyk, K., K. Molenda, J. Szarek and G. Skrzynski,2005Brethour, J.R.,1994Grzesiak, W., R. Lacroix, J. Wojcik and P. Blaszczyk,2003Grzesiak, W., P. Blaszczyk and R. Lacroix,2006Korthals, R.L., G.L. Hahn and J.A. Nienaber,1994Lacroix, R., K.M. Wade, R. Kok and J.F. Hayes,1995Lopez-Benavides, M.G., S. Samarasinghe and J.G.H. Hickford,2003MATLAB, 2006Md Saad, M.H., M.J. Mohd Nor, F.R.A. Bustami and R. Ngadiran,2007Molenda, K., Z. Gil and J. Żychlińska,2001Olori, V.E., S. Brotherstone, W.G. Hill and B.J. McGuirk,1999Salehi, F., R. Lacroix and K.M. Wade, 1998SAS,1997Theil, H.,1979Wood, P.D.P.,1967Yang, X.Z., R. Lacroix and K.M. Wade,1999Hagan, M.T. and M.B. Menhaj,1994