Prediction model for true metabolizable energy of feather meal and poultry offal meal using group method of data handling-type neural network

Poultry Science

Volumn 87, Issue 9, 2008, Pages 1909-1912

  Ahmadi, H ^a   Golian, A ^a   Mottaghitalab, M ^b   Nariman Zadeh, N ^b  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

^b UNIVERSITY OF GUILAN   (Iran)

Author keywords

Feather meal; Metabolizable energy; Neural network model; Poultry offal meal

Indexed keywords

EID: 51349167200     PISSN: 00325791     EISSN: 15253171     Source Type: Journal    
DOI: 10.3382/ps.2007-00507     Document Type: Article

References (14)

1. Ahmadi, H., M. Mottaghitalab, and N. Nariman-Zadeh. 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.
2. Amanifard, N., N. Nariman-Zadeh, M. Borji, A. Khalkhali, and A. Habibdoust. 2008. Modelling and pareto optimization of heat transfer and flow coefficients in microchannels using GMDH type neural networks and genetic algorithms. Energy Convers. Manage. 2:311-325.
3. Dale, N. 1992. True metabolizable energy of feather meal. J. Appl. Poult. Res. 1:331-334.
4. Dale, N., and A. Batal. 2002. Feedstuffs Ingredient Analysis Table. Miller Publishing Co., Minnetonka, MN.
5. Dale, N., B. Fancher, M. Zumbado, and A. Viuacres. 1993. Metabolizable energy content of poultry offal meal. J. Appl. Poult. Res. 2:40-42.
6. Dayhoff, J. E., and J. M. DeLeo. 2001. Artificial neural networks: Opening the black box. Cancer 91(Suppl. 8):1615-1635.
7. Farlow, S. J. 1984. Self-organizing methods in modeling. GMDH type algorithms. Marcel Dekker Inc., New York, NY.
8. GEvoM. 2008. GMDH-type neural network designed by an evolutionary method of modelling. http://research.guilan. ac.ir/gevom/ Accessed Jan. 20, 2008.
9. Ivakhnenko, A. G. 1971. Polynomial theory of complex systems. IEEE Trans. Syst. Man Cybern. 4:364-378.
10. Lemke, F., and J. A. Mueller. 2003. Medical data analysis using self-organizing data mining technologies. Syst. Anal. Model. Simul. 10:1399-1408.
11. Mueller, J. A., and F. Lemke. 2000. Self-organising data mining: An intelligent approach to extract knowledge from data. Hamburg Pub. Libri., Germany.
12. Nariman-Zadeh, N., A. Darvizeh, A. Jamali, and A. Moieni. 2005. Evolutionary design of generalized polynomial neural networks for modelling and prediction of explosive forming process. J. Mater. Process. Technol. 164-165:1561-1571.
13. Oberstone, J. 1990. Management Science-Concepts, Insights, and Applications. West Publ. Co., New York, NY.
14. Yao, X. 1999. Evolving artificial neural networks. Proc. IEEE 9:1423-1447.