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.
https://hal.inria.fr/hal-01060511
Contributor : Hal Ifip
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Submitted on : Thursday, September 4, 2014 - 2:51:33 PM
Last modification on : Tuesday, August 8, 2017 - 5:17:57 PM
Document(s) archivé(s) le : Friday, December 5, 2014 - 10:16:10 AM
Xiaoli Wei, Guoqiang Qi, Weizheng Shen, Sun Jian. Using L-M BP Algorithm Forecase the 305 Days
Production of First-Breed Dairy. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. pp.359-363, ⟨10.1007/978-3-642-12220-0_52⟩. ⟨hal-01060511⟩
