USING L-M BP ALGORITHM FORECASE THE 305 DAYS PRODUCTION OF FIRST-BREED DARIY

摘要：

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 days milk productions was set up. Traditional methods finish these data must spend at least 305 days, But this model can forecast first-breed dairys 305 days milk production ahead of 215 days. The validity of the improved BP neural network predictive model was validated through the experiments.

关键词： Dairy Milk production prediction Neural Networks BP algorithm-M algorithm.

作者: xiao-li wei guo-qiang qi wei-zheng shen sun jian

作者单位: Agricultural engineer center,Northeast Agricultural University,Harbin,Heilongjiang province ,china ,150030

会议类型: 国际会议

会议名称: 第三届亚洲精细农业会议暨第五届智能化农业信息技术国际会议

会议地点: 北京

会议语种:英文

页码: 1-6

在线出版日期: 2009-10-14（万方平台首次上网日期，不代表论文的发表时间）