Simulation

Evaluation of the efficiency of artificial neural networks for genetic value prediction

G. N. Silva, Tomaz, R. S., Sant’Anna, I. C., Carneiro, V. Q., Cruz, C. D., Nascimento, M., Silva, G. N., Tomaz, R. S., Sant’Anna, I. C., Carneiro, V. Q., Cruz, C. D., Nascimento, M., Silva, G. N., Tomaz, R. S., Sant’Anna, I. C., Carneiro, V. Q., Cruz, C. D., and Nascimento, M., Evaluation of the efficiency of artificial neural networks for genetic value prediction, vol. 15, p. -, 2016.

Artificial neural networks have shown great potential when applied to breeding programs. In this study, we propose the use of artificial neural networks as a viable alternative to conventional prediction methods. We conduct a thorough evaluation of the efficiency of these networks with respect to the prediction of breeding values. Therefore, we considered eight simulated scenarios, and for the purpose of genetic value prediction, seven statistical parameters in addition to the phenotypic mean in a network designed as a multilayer perceptron.

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