Short-term traffic flow forecasting: parametric and nonparametric approaches via emotional temporal difference learning-Reference-Cited by-同舟云学术

Short-term traffic flow forecasting: parametric and nonparametric approaches via emotional temporal difference learning

Published:2012-06-22 Issue:1 Volume:23 Page:141-159
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Abdi Javad,Moshiri Behzad,Abdulhai Baher,Sedigh Ali Khaki

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-012-0977-3.pdf

Reference79 articles.

1. Abdi J, Fatourechi M, Lucas C, Sedigh AK, Famil Khalili GH (2004) Control of multivariable systems based on emotional temporal difference learning controller. Int J Eng Natl Centre Sci Res 17(4):363–376

2. Abdi J, Rashidi F, Lucas C, Sedigh AK (2005) The role of context in emotional temporal difference learning and its applications in control. J Sci Technol Sharif Univ Technol 30:13–21

3. Abdulhai B, Porwal H, Recker W (2002) Short term traffic-flow forecasting using neuro-genetic algorithms. J Intell Transp Syst Technol Plann Oper 7(1):3–41

4. Ahmed MS, Cook AR (1979) Analysis of freeway traffic time-series data by using Box-Jenkins techniques. Transp Res Rec 722:1–9

5. Al-Saba T, El-Amin I (1999) Artificial neural networks as applied to long-term demand forecasting. Artif Intell Eng 13:189–197

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