Using L-M BP Algorithm Forecase the 305 Days Production of First-Breed Dairy

Abstract

Aiming at the shortage of conventional BP algorithm, a BP neural net works improved by L-M algorithm is put forward. On the basis of the network, a Prediction model for 305 day's milk productions was set up. Traditional methods finish these data must spend at least 305 days, But this model can forecast first-breed dairy's 305 days milk production ahead of 215 days. The validity of the improved BP neural network predictive model was validated through the experiments.

Weighted sampling method for improving performance prediction: The case of pig management system

“…However, current studies have focused on algorithms based on data-mining methods such as a neural network, which can better predict in comparison to econometric methods ( [7], [8]). To improve prediction model performance based on a neural network, [9] used the Back Propagation algorithm with the Levenberg-Marquardt training method. Furthermore, the Support Vector Machine (SVM) algorithm is recognized for better prediction than a neural network, and [10] used SVM verified predictive performance of a livestock model.…”