The Price Forecast Model of China-made Large Aircraft Based on Partial Least Squares Regression

被引:0
|
作者
Fang, Pei [1 ]
Wang, Lu [2 ]
Mao, Shuhua [3 ]
机构
[1] Wuhan Univ Technol, Coll Comp Sci & Technol, Peace Ave 1040, Wuhan 430070, Hubei Province, Peoples R China
[2] Wuhan Univ Technol, Sch Econ, Wuhan, Hunan, Peoples R China
[3] Wuhan Univ Technol, Sch Sci, Wuhan, Hunan, Peoples R China
来源
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRONIC & MECHANICAL ENGINEERING AND INFORMATION TECHNOLOGY (EMEIT-2012) | 2012年 / 23卷
关键词
domestic large aircraft; price forecast; partial least squares regression; discount factor; mathematical model;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article adopts partial least squares regression method to forecast the price of domestic (China-made) large aircraft C919. With analysis of the pricing background and the relationship between performance index and price of foreign aircraft, we build preliminary model. And comparing with other modeling methods by calculating average relative error, we find the preliminary model fits better. Considering the difference in environment between domestic and foreign market, we propose the concept of discount factor. And the factor is equal to 0.6529 by analyzing domestic and foreign small aircrafts of the same type. Finally through modified model we get the forecast price, namely 48.95 million dollars per aircraft. The forecasting model and discount factor have some reference value to the price forecast of domestic large aircraft.
引用
收藏
页数:5
相关论文
共 50 条
  • [21] Identification Method Research of Invalid Questionnaire Based on Partial Least Squares Regression
    Ren, Fuzhan
    Yu, Huixin
    Zhao, Baoshan
    Hao, Yongjing
    Wang, Jiankun
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 1204 - +
  • [22] AMBIENT ERROR WEIGHTED PARTIAL LEAST-SQUARES REGRESSION - A NEW RECEPTOR MODEL
    WANG, SZ
    LARSON, T
    ANALYTICA CHIMICA ACTA, 1993, 272 (02) : 333 - 337
  • [23] Seasonal Prediction of the Yangtze River Runoff Using a Partial Least Squares Regression Model
    Ye, Xiaochen
    Wu, Zhiwei
    Wang, Zhaomin
    Shen, Huying
    Xu, Jianming
    ATMOSPHERE-OCEAN, 2018, 56 (02) : 117 - 128
  • [24] Study on Partial Least-Squares Regression Model of Simulating Freezing Depth Based on Particle Swarm Optimization
    Li, Tianxiao
    Fu, Qiang
    Meng, Fanxiang
    Wang, Zilong
    Wang, Xiaowei
    JOURNAL OF COMPUTERS, 2011, 6 (03) : 532 - 539
  • [25] Application of Natural Frequencies for Prediction of Apple Texture Based on Partial Least Squares Regression
    Hou, Jumin
    Sun, Yonghai
    Chen, Fangyuan
    Wang, Lu
    Bai, Xue
    Wang, Minghui
    Mao, Qian
    INTERNATIONAL JOURNAL OF FOOD ENGINEERING, 2017, 13 (10)
  • [26] Partial least squares regression soft measurement method based on transfer subspace learning
    Han P.-D.
    Yan G.-W.
    Ren M.-F.
    Cheng L.
    Ye Z.-F.
    Kongzhi yu Juece/Control and Decision, 2023, 38 (11): : 3147 - 3155
  • [27] Partial Least Squares Regression-Based Robust Forward Control of the Tableting Process
    Hattori, Yusuke
    Naganuma, Miki
    Otsuka, Makoto
    PHARMACEUTICS, 2020, 12 (01)
  • [28] Pruning Method in The Architecture of Extreme Learning Machines Based on Partial Least Squares Regression
    Vitor, P.
    IEEE LATIN AMERICA TRANSACTIONS, 2018, 16 (12) : 2864 - 2871
  • [29] Partial least squares regression model to predict water quality in urban water distribution systems
    Luo B.
    Zhao Y.
    Chen K.
    Zhao X.
    Transactions of Tianjin University, 2009, 15 (02) : 140 - 144
  • [30] Partial Least Squares Regression Model to Predict Water Quality in Urban Water Distribution Systems
    骆碧君
    赵元
    陈凯
    赵新华
    Transactions of Tianjin University, 2009, 15 (02) : 140 - 144