References

Ahmad, H.A., 2009. Poultry growth modeling using neural networks and stimulated data. J. Applied Poult. Res., 18: 440-446.
CrossRef  |  Direct Link  |  

Ahmadi, H., M. Mottaghitalab, N. Nariman-Zadeh and A. Golian, 2008. Predicting performance of broiler chickens from dietary nutrients using group method of data handling-type neural networks. British Poult. Sci., 49: 315-320.
PubMed  |  

Golian, A. and H. Ahmadi, 2008. Neural network model for egg production curve. J. Anim. Vet. Adv., 7: 1168-1170.
Direct Link  |  

Minitab, 1994. Minitab statistic software release 10.1. Minitab Inc., USA.

National Animal Industry Foundation, 2009. The statistical data of egg production and laying hens. National Animal Industry Foundation, Taipei.

Roush, W.B., W.A. Dozier, 3rd and S.L. Branton, 2006. Comparison of Gompertz and neural network models of broiler growth. Poult. Sci., 85: 794-797.
Direct Link  |  

Savegnago, R.P., B.N. Nunes, S.L. Caetano, A.S. Ferraudo, G.S. Schmidt, M.C. Ledur and D.P. Munari, 2011. Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens. Poult. Sci., 90: 705-711.
PubMed  |  

Ward Systems Group, 2010. Neuroshell predictor tutorial. Ward Systems Group, UK.

Zhang, Z., Y. Wang, G. Fan and P.B. Harrington, 2007. A comparative study of multilayer perceptron neural networks for the identification of rhubarb samples. Phytochem. Anal., 18: 109-114.
PubMed  |