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
  • [41] Quick assessment of chicken spoilage based on hyperspectral NIR spectra combined with partial least squares regression
    Jiang, Shengqi
    He, Hongju
    Ma, Hanjun
    Chen, Fusheng
    Xu, Baocheng
    Liu, Hong
    Zhu, Mingming
    Kang, Zhuangli
    Zhao, Shengming
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2021, 14 (01) : 243 - 250
  • [42] Prediction of Rice Yield in East China Based on Climate and Agronomic Traits Data Using Artificial Neural Networks and Partial Least Squares Regression
    Guo, Yuming
    Xiang, Haitao
    Li, Zhenwang
    Ma, Fei
    Du, Changwen
    AGRONOMY-BASEL, 2021, 11 (02):
  • [43] Benchmarking support vector regression against partial least squares regression and artificial neural network: Effect of sample size on model performance
    Tange, Rikke Ingemann
    Rasmussen, Morten Arendt
    Taira, Eizo
    Bro, Rasmus
    JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2017, 25 (06) : 381 - 390
  • [44] A Price Forecast Method of Commercial Aircraft Based on I-GM(0,N) Model
    He, Shawei
    Liu, Sifeng
    Fang, Zhigeng
    Chen, Ye
    IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), 2010, : 3586 - 3593
  • [45] Application of Coupling Model with Neural Network and Projection Pursuit based on Partial Least-squares Regression to Water Resources Carrying Capacity Forecasting
    Zhao, Xiao-yong
    2012 FIFTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2012), VOL 2, 2012, : 446 - 449
  • [46] Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis
    Mazen Soufi
    Yoshito Otake
    Masatoshi Hori
    Kazuya Moriguchi
    Yasuharu Imai
    Yoshiyuki Sawai
    Takashi Ota
    Noriyuki Tomiyama
    Yoshinobu Sato
    International Journal of Computer Assisted Radiology and Surgery, 2019, 14 : 2083 - 2093
  • [47] Liver shape analysis using partial least squares regression-based statistical shape model: application for understanding and staging of liver fibrosis
    Soufi, Mazen
    Otake, Yoshito
    Hori, Masatoshi
    Moriguchi, Kazuya
    Imai, Yasuharu
    Sawai, Yoshiyuki
    Ota, Takashi
    Tomiyama, Noriyuki
    Sato, Yoshinobu
    INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2019, 14 (12) : 2083 - 2093
  • [48] A NEW ROBUST PARTIAL LEAST SQUARES REGRESSION METHOD BASED ON A ROBUST AND AN EFFICIENT ADAPTIVE REWEIGHTED ESTIMATOR OF COVARIANCE
    Polat, Esra
    Gunay, Suleyman
    REVSTAT-STATISTICAL JOURNAL, 2019, 17 (04) : 449 - 474
  • [49] Application of partial least squares regression for identifying multivariate geochemical anomalies in stream sediment data from Northwestern Hunan, China
    Wang Kun
    Xiao Keyan
    Li Nan
    Cong Yuan
    Li Shengmiao
    GEOCHEMISTRY-EXPLORATION ENVIRONMENT ANALYSIS, 2017, 17 (03) : 217 - 230
  • [50] Finding relevant spectral regions between spectroscopic techniques by use of cross model validation and partial least squares regression
    Westad, Frank
    Afseth, Nils Kristian
    Bro, Rasmus
    ANALYTICA CHIMICA ACTA, 2007, 595 (1-2) : 323 - 327