Neural Network and Regression Based Model for Cows’ Milk Yield Prediction in Different Climatic Gradients
Bosede Oyegbile, Oludayo Michael Akinsola, Okeke Rufina Obioma, Adekola Omololu Atanda, Balami Samuel Paul, Mary Foluke Oladipo, Zulfat Suleiman Abba
Annual Research & Review in Biology · pp. 1–9 · Published 17 Aug 2018
10.9734/ARRB/2018/41947Abstract
The present study was designed to develop the prediction equations for 305 days fat corrected milk yield on the basis of part periods milk yield, milk component and conformation traits of multi-genotype cows. Artificial Neural Network model had the best prediction accuracy across varying environments, though Genetic Function Algorithm had the overall best adequacy for fat corrected milk yield predictions (FCM305d=1036.1-98.3RP+22FY+15.92UC-0.07RUH; Adj R2=0.997; RMSE=30.07; BIC=1997.28).
Cited by 1
Rudibel Perdigón-Llanes, Neilys González-Benítez · Rev. Colomb. de Computación · 2022
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