Using L-M BP Algorithm Forecase the 305 Days Production of First-Breed Dairy - Computer and Computing Technologies in Agriculture III Access content directly
Conference Papers Year : 2010

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.
Fichier principal
Vignette du fichier
0939--Xiaoli_Wei.pdf (102.99 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01060511 , version 1 (04-09-2014)

Licence

Attribution

Identifiers

Cite

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⟩
88 View
157 Download

Altmetric

Share

Gmail Facebook X LinkedIn More