期刊文献+

玉米摘穗辊主要工作参数的灰色绝对关联度分析 被引量:4

Absolute Grey Incidence Analysis of Major Operation Parameters of Corn Stripper Rollers
在线阅读 下载PDF
导出
摘要 利用灰色绝对关联度理论建立了玉米摘穗辊的工作间隙、摘穗辊转速及机车前进速度同籽粒损失率的数学模型,通过理论验算,得出玉米摘穗辊工作间隙、摘穗辊速度和机车前进速度与籽粒损失率的关联度,分别为ε01=0.500673,ε02=0.724512,ε03=0.581288;影响显著性顺序为:摘穗辊工作间隙,车前进速度,穗辊的转速;三者与籽粒损失率关系为:摘穗辊工作间隙对籽粒损失率影响最大,车前进速度次之,穗辊的转速最小。 A mathematic model is established, based on the absolute grey incidence theories, to calculate the incidence degrees between seed loss and corn stripper rollers' gap distances, rotation speeds and progression velocities.Theoretical computation shows the three degrees as ε01 = 0. 500673,ε02 = 0.724512,ε03 = 0.581288 respectively. The result indicates that the influence of gap distance on the rate of seed loss is the largest, while the influence of rotation speed is the smallest.
出处 《河南科技大学学报(自然科学版)》 CAS 2006年第2期71-73,共3页 Journal of Henan University of Science And Technology:Natural Science
基金 河南省杰出人才创新基金(03210005000)
关键词 玉米收获机 摘穗辊 工作参数 灰色绝对关联度 Corn harvesters Com stripper rollers Operation parameters Absolute grey incidence degree
  • 相关文献

参考文献7

二级参考文献20

  • 1Joyce Bischoff.数据仓库技术[M].北京:电子工业出版社,1998.34-38.
  • 2Gray J, Chaudhuri S, Bosworth A, et al. Data Cube: a Relational Aggregation Operator Generalizing Group-by, Cross-tab, and Subtotals[ J]. Data Mining and Knowledge Discovery, 1997,1 ( 1 ) :29 - 53.
  • 3AgTawal R, Imielinski T, Swami A. Mining Association Rules Between Sets of Items in Large Databases[ A]. Proc 1993 ACM-SIG-MOD Int Conf Management of Data[ C]. Washington, D.C., 1993:207 -216.
  • 4刘忠宽 杨福存 张立峰 刘树庆 张立峰.华北地区蔬菜市场时序供应规律的研究[A].刘树庆,张立峰.高寒半干旱区农牧业持续发展理论与实践[C].北京:气象出版社,2001.114-116.
  • 5Chen M Y, Wang Y L, Wang F S.Properties and applications of interval grey numbers being unanimous or opposite on value assignment[J]. PROCEEDINGS OF SCI′94,(1): 270-273.
  • 6Jiawei Han, Micheline Kamber. Data Mining: Concepts and Techniques[M]. Morgan Kaufmann Publishers Inc, 2001.
  • 7Agrawal R, Imielinski T, Swami A. Mining Association Rules Between Sets of Items in Large Databases[A]. Proceedings of the ACM SIGMOD Conference on Management of Data[C]. 1993:207- 216.
  • 8Agrawal R, Srikant R. Fast Algorithms for Mining Assosiation Rules[ A]. Proc 20th Intl Conf Very Large Databases [ C ]. Santiago Chite, 1994:487 - 499.
  • 9欧阳为民,蔡庆生.发现广义序贯模式的增量式更新技术[J].软件学报,1998,9(10):777-780. 被引量:12
  • 10万拯群.当前我国科学保粮问题之我见[J].粮食储藏,1999,28(1):25-29. 被引量:33

共引文献97

同被引文献36

引证文献4

二级引证文献9

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部