FORECASTING INTERNATIONAL AIRLINE PASSENGER TRAFFIC USING NEURAL NETWORKS

被引：0
|
作者：
NAM, K
SCHAEFER, T
机构：
来源：
LOGISTICS AND TRANSPORTATION REVIEW | 1995年 / 31卷 / 03期
关键词：
D O I：
暂无
中图分类号：
C93 [管理学]; O22 [运筹学];
学科分类号：
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要：
This paper examines the potential of using neural networks (NNs) in lieu of traditional statistical techniques in forecasting international airline passenger traffic. Neural networks appear to enhance forecasting accuracy and go beyond the capabilities of conventional statistical analysis. Therefore, airline decision makers should benefit from using neural networks in forecasting airline passenger loads.
引用
收藏
页码：239 / 251
页数：13
相关论文
共 50 条
  • [1] Airline Passenger Forecasting using ARIMA and Artificial Neural Networks Approaches
    Universitas Indonesia, Department of Industrial Engineering Faculty of Engineering, Depok, Indonesia
    Int. Conf. ICT for Smart Soc.: AIoT Smart Society, ICISS - Proceeding,
  • [2] Airline passenger forecasting using neural networks and Box-Jenkins
    Ghomi, S. M. T. Fatemi
    Forghani, K.
    2016 12TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING (ICIE), 2016,
  • [3] Internet traffic forecasting using neural networks
    Cortez, Paulo
    Rio, Miguel
    Rocha, Miguel
    Sousa, Pedro
    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 2635 - +
  • [4] Forecasting air passenger traffic and market share using deep neural networks with multiple inputs and outputs
    Jafari, Nahid
    Lewison, Martin
    FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2024, 7
  • [5] Development of an Airline Traffic Forecasting Model on International Sectors
    Srinidhi, S.
    2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, 2009, : 322 - +
  • [6] DNS Traffic Forecasting Using Deep Neural Networks
    Madariaga, Diego
    Panza, Martin
    Bustos-Jimenez, Javier
    MACHINE LEARNING FOR NETWORKING, 2019, 11407 : 181 - 192
  • [7] Traffic forecasting in Morocco using artificial neural networks
    Slimani, Nadia
    Slimani, Ilham
    Sbiti, Nawal
    Amghar, Mustapha
    10TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2019) / THE 2ND INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40 2019) / AFFILIATED WORKSHOPS, 2019, 151 : 471 - 476
  • [8] Airline passenger traffic openness and the performance of Emirates Airline
    Squalli, Jay
    QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2014, 54 (01): : 138 - 145
  • [9] Time series forecasting with neural networks: A comparative study using the airline data
    Applied Statistics. Journal of the Royal Statistical Society Series C, 47 (pt 2):
  • [10] Time series forecasting with neural networks: A comparative study using the airline data
    Faraway, J
    Chatfield, C
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 1998, 47 : 231 - 250
12345