Research on Pepper Disease Diagnosis Model Based on Genetic Neural network

摘要：

　　To explore the effective method of the pepper diseases,using the method of combining the genetic algorithm and BP neural network,the establish neural network diagnostic model for pepper diseases is established to improve the model convergence rate and accuracy.The experimental results show that the model is convergent effectively and the diagnostic accuracy is improved by 12%.

作者: Qingfeng WEI Sufen SUN ChangShou LUO

作者单位: Institute of Agricultural Information and Economics.Beijing Academy of Agriculture and Forestry Sciences,Beijing,China;Beijing Research Center of Engineering Technology on Rural Distance Information Service,Beijing,China

会议类型: 国际会议

会议名称: 2017 International Conference on Electronic Information Technology and Computer Engineering (EITCE 2017)(2017电子信息技术与计算机工程国际会议)(EITCE2017)

会议地点: 珠海

会议语种:英文

页码: 1-3

在线出版日期: 2017-09-23（万方平台首次上网日期，不代表论文的发表时间）