- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Annual Issues ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Discrete Dynamics in Nature and Society
Volume 2012 (2012), Article ID 431512, 12 pages
Forecasting Air Passenger Traffic by Support Vector Machines with Ensemble Empirical Mode Decomposition and Slope-Based Method
Department of Management Science and Information System, School of Management, Huazhong University of Science and Technology, Wuhan 430074, China
Received 28 August 2012; Accepted 3 October 2012
Academic Editor: Carlo Piccardi
Copyright © 2012 Yukun Bao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citations to this Article [9 citations]
The following is the list of published articles that have cited the current article.
- Zhongyi Hu, Yukun Bao, and Tao Xiong, “Electricity Load Forecasting Using Support Vector Regression with Memetic Algorithms,” The Scientific World Journal, vol. 2013, pp. 1–10, 2013.
- Zong-chang Yang, “Modeling and Forecasting Monthly Passenger-Load Movement Based on the Elliptic Orbit Algorithmic Model,” Journal of Computing in Civil Engineering, pp. 04014031, 2014.
- Haizhong Wang, Lu Liu, Zhen (Sean) Qian, Heng Wei, and Shangjia Dong, “Empirical Mode Decomposition-Autoregressive Integrated Moving Average Hybrid Short-Term Traffic Speed Prediction Model,” Transportation Research Record, no. 2460, pp. 66–76, 2014.
- Qisheng Yan, Shitong Wang, and Bingqing Li, “Forecasting Uranium Resource Price Prediction by Extreme Learning Machine with Empirical Mode Decomposition and Phase Space Reconstruction,” Discrete Dynamics in Nature and Society, vol. 2014, pp. 1–10, 2014.
- Wei Ming, Yukun Bao, Zhongyi Hu, and Tao Xiong, “Multistep-Ahead Air Passengers Traffic Prediction with Hybrid ARIMA-SVMs Models,” The Scientific World Journal, vol. 2014, pp. 1–14, 2014.
- Haizhong Wang, Lu Liu, Shangjia Dong, Zhen Qian, and Heng Wei, “A novel work zone short-term vehicle-type specific traffic speed prediction model through the hybrid EMD–ARIMA framework,” Transportmetrica B: Transport Dynamics, pp. 1–28, 2015.
- Uneb Gazder, and Nedal T. Ratrout, “A new logit-artificial neural network ensemble for mode choice modeling: a case study for border transport,” Journal of Advanced Transportation, 2015.
- Heng-Li Yang, and Han-Chou Lin, “Applying the Hybrid Model of EMD, PSR, and ELM to Exchange Rates Forecasting,” Computational Economics, 2015.
- Qi Ouyang, Wenxi Lu, Xin Xin, Yu Zhang, Weiguo Cheng, and Ting Yu, “Monthly Rainfall Forecasting Using EEMD-SVR Based on Phase-Space Reconstruction,” Water Resources Management, 2016.