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.
Daoliang Li; Chunjiang Zhao. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-317, pp.359-363, 2010, Computer and Computing Technologies in Agriculture III. 〈10.1007/978-3-642-12220-0_52〉
https://hal.inria.fr/hal-01060511
Contributeur : Hal Ifip
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Soumis le : jeudi 4 septembre 2014 - 14:51:33
Dernière modification le : mardi 8 août 2017 - 17:17:57
Document(s) archivé(s) le : vendredi 5 décembre 2014 - 10:16:10
Xiaoli Wei, Guoqiang Qi, Weizheng Shen, Sun Jian. Using L-M BP Algorithm Forecase the 305 Days
Production of First-Breed Dairy. Daoliang Li; Chunjiang Zhao. Third IFIP TC 12 International Conference on Computer and Computing Technologies in Agriculture III (CCTA), Oct 2009, Beijing, China. Springer, IFIP Advances in Information and Communication Technology, AICT-317, pp.359-363, 2010, Computer and Computing Technologies in Agriculture III. 〈10.1007/978-3-642-12220-0_52〉. 〈hal-01060511〉
