Comparative efficiency of artificial neural networks and multiple linear regression analysis for prediction of first lactation 305-day milk yield in Sahiwal cattle

Author:

Dongre V.B.,Gandhi R.S.,Singh Avtar,Ruhil A.P.

Publisher

Elsevier BV

Subject

General Veterinary,Animal Science and Zoology

Reference17 articles.

1. Debbarma, M., 2010. Genetic Analysis of Test Day Milk Yield in Sahiwal Cattle. M.V.Sc. Thesis, NDRI, Karnal, India.

2. Prediction of second parity milk performance of dairy cows from first parity information using artificial neural network and multiple linear regression methods;Edriss;Asian J. Anim. Vet. Adv.,2008

3. Fundamentals of Neural Networks;Fausett,1994

4. Foresee, F.D., Hagan, M.T., 1997. Gauss–Newton approximation to Bayesian regularization. In: Proceedings of the IEEE International Joint Conference on Neural Networks. vol. 3, pp. 1930–1935 (1997).

5. Artificial neural network versus multiple regression analysis for prediction of lifetime milk production in Sahiwal cattle;Gandhi;J. Appl. Anim. Res.,2010

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