基于核近邻非参数回归的航材消耗预测
作者:
作者单位:

(海军航空大学,山东烟台 264001)

作者简介:

通讯作者:

中图分类号:

V267;E926

基金项目:


Prediction of Aviation Material Consumption Based on Nonparametric Regression of Nuclear Nearest Neighbor
Author:
Affiliation:

(Naval Aviation University, Yantai Shandong 264001, China)

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对某型直升机服役时间短、机型较新、备件采购周期长等特点,使用核近邻非参数回归对平稳型航材建立消耗预测模型。对比多种回归方法,证明基于非参数回归的航材消耗模型对区间预测具有较好的效果。

    Abstract:

    According to the characteristics of a certain type of cited helicopter, such as short service time, relatively newmodel and long spare parts procurement cycle, the non-parametric regression algorithm was used to establish the aviationmaterial consumption model. Based on the classification of aviation materials, the consumption prediction model of station?ary aviation materials was established by using nonparametric regression of nuclear nearest neighbor. By comparing vari?ous regression methods, it is proved that the model based on non-parametric regression has a good effect on interval pre?diction.

    参考文献
    相似文献
    引证文献
引用本文

薛永亮,陈振林.基于核近邻非参数回归的航材消耗预测[J].海军航空大学学报,2019,34(6):516-520
XUE Yongliang, CHEN Zhenlin. Prediction of Aviation Material Consumption Based on Nonparametric Regression of Nuclear Nearest Neighbor[J]. JOURNAL OF NAVAL AVIATION UNIVERSITY,2019,34(6):516-520

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2020-03-04
  • 出版日期: