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

页码：239 / 251

页数：13

共 50 条

[41] Sales forecasting using neural networks
Thiesing, FM
Vornberger, O
[J]. 1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, 1997, : 2125 - 2128
[42] Rainfall forecasting using neural networks
Ramesh, TSV
Mujumdar, PP
[J]. STOCHASTIC HYDRAULICS '96, 1996, : 325 - 332
[43] Passenger Demand Forecasting with Multi-Task Convolutional Recurrent Neural Networks
Bai, Lei
Yao, Lina
Kanhere, Sala S.
Yang, Zheng
Chu, Jing
Wang, Xianzhi
[J]. ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2019, PT II, 2019, 11440 : 29 - 42
[44] Demand Forecasting model based on artificial neural networks for Passenger Transportation Projects
Vasconcelos, Vagner Sanches
Quevedo-Silva, Filipe
Rovai, Ricardo Leonardo
[J]. URBE-REVISTA BRASILEIRA DE GESTAO URBANA, 2021, 13
[45] Resilience and rewiring of the passenger airline networks in the United States
Wuellner, Daniel R.
Roy, Soumen
D'Souza, Raissa M.
[J]. PHYSICAL REVIEW E, 2010, 82 (05):
[46] COST FORECASTING FOR INTERNATIONAL AIRLINE OPERATIONS.
Kanafani, Adib
Yuan, Huey Shin
[J]. Transportation Research Record, 1979, (732): : 15 - 24
[47] Analysis of the potential for delay propagation in passenger airline networks
AhmadBeygi, Shervin
Cohn, Amy
Guan, Yihan
Belobaba, Peter
[J]. JOURNAL OF AIR TRANSPORT MANAGEMENT, 2008, 14 (05) : 221 - 236
[48] Analysis and Design of Revenue Management Forecasting System for Airline Passenger Market
Wang, Y.
[J]. INTERNATIONAL CONFERENCE ON ADVANCED EDUCATIONAL TECHNOLOGY AND INFORMATION ENGINEERING (AETIE 2015), 2015, : 899 - 907
[49] Forecasting abilities of MIMO and SISO neural networks: A comparative study using telecommunication traffic data
Oduro-Gyimah, Francis Kwabena
Boateng, Kwame Osei
[J]. 2019 INTERNATIONAL CONFERENCE ON COMPUTING, COMPUTATIONAL MODELLING AND APPLICATIONS (ICCMA), 2019, : 81 - 86
[50] Citywide Mobile Traffic Forecasting Using Spatial-Temporal Downsampling Transformer Neural Networks
Hu, Yahui
Zhou, Yujiang
Song, Junping
Xu, Luyang
Zhou, Xu
[J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2023, 20 (01): : 152 - 165

← 1 2 3 4 5 →