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.
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Communication dans un congrès
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〉
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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〉

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