Alfalfa quality classification system based on MATLAB

摘要：

　　This paper adopted BP artificial neural network in neural network toolbox of MATLAB, used CP, NDF and ADF features from training 200 samples of alfalfa to get the neural network model of BP.By adopted different BP neural networks, the first alfalfa quality classification system has been established with the potential applications rating in alfalfa market circulation.

关键词： BP neural network MATLAB alfalfa quality classification system

作者: Jishan Chen Ruifen Zhu Yuexue Zhang Ruixuan Xu Yingjun Zhang

作者单位: Institute of Pratacultural Science, Heilongjiang Academy of Agricultural Science, Harbin 150086, Chi China Agricultural University, Beijing 100193, China

会议类型: 国际会议

会议名称: The 5th China-Japan-Korea Grassland Conference(第五届中-日-韩国际草地会议)

会议地点: 长春

会议语种:英文

页码: 109-109

在线出版日期: 2014-08-20（万方平台首次上网日期，不代表论文的发表时间）