首页 | 本学科首页   官方微博 | 高级检索  
     

基于神经网络数据挖掘的红色籽用西瓜亲本选择方法研究
引用本文:程磊,李绍稳,樊建峰,汪伟伟. 基于神经网络数据挖掘的红色籽用西瓜亲本选择方法研究[J]. 生物信息学, 2009, 7(2): 140-142
作者姓名:程磊  李绍稳  樊建峰  汪伟伟
作者单位:1. 亳州职业技术学院,安徽,亳州,236800
2. 安徽农业大学信息学院
3. 安徽农业大学园艺学院,合肥,230036
基金项目:安徽省自然科学基金项目 
摘    要:根据多年来红色籽用西瓜自交系育种过程中,积累的多代性状复杂、数量庞大的种质资源及数据,利用数据挖掘中的反向传播(Back propagation,BP)神经网络方法,建立红色籽用西瓜BP神经网络模型。以红籽瓜数量性状作为预测依据,选择出具有丰产性状的红籽瓜亲本材料,为育种工作者进行亲本选择时提供一种新的途径和方法。

关 键 词:红色籽用西瓜  BP神经网络  数据挖掘  单瓜种子重  亲本选择

The parent selection of red-seed-using watermelon based on data mining by neural network
CHENG Lei,LI Shao-wen,FAN Jian-feng,WANG Wei-wei. The parent selection of red-seed-using watermelon based on data mining by neural network[J]. Chinese Journal of Bioinformatics, 2009, 7(2): 140-142
Authors:CHENG Lei  LI Shao-wen  FAN Jian-feng  WANG Wei-wei
Affiliation:1. BoZhou Vocational and Technical College, Bozhou 236800, China ; 2. School of Information Technology Anhui Agricultural University, Hefei 230036, China ; 3. School of Horticalture Anhui Agricultural University, Hefei 230036, China)
Abstract:After red- seed - using inbreds breeding for many years, huge quantity of germplasm resource and data of many generation with complicated characteristic were collected. BP neural networks were used to estabhsh red- seed- using watermelon BP neural networks model, which could help to select parents with high produce characteristic based on quantity characteristic and provide a new method for breed experts to select parent.
Keywords:Red - seed - using watermelon   BP neural networks   Data Mining   single - fruit seed - weight   parent selection
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号