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Passenger Train Delay Classification

Passenger Train Delay Classification

Masoud Yaghini, Maryam Setayesh Sanai, Hossein Amin Sadrabady
Copyright: © 2013 |Volume: 4 |Issue: 1 |Pages: 11
ISSN: 1947-8283|EISSN: 1947-8291|EISBN13: 9781466631182|DOI: 10.4018/jamc.2013010102
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MLA

Yaghini, Masoud, et al. "Passenger Train Delay Classification." IJAMC vol.4, no.1 2013: pp.21-31. http://doi.org/10.4018/jamc.2013010102

APA

Yaghini, M., Sanai, M. S., & Sadrabady, H. A. (2013). Passenger Train Delay Classification. International Journal of Applied Metaheuristic Computing (IJAMC), 4(1), 21-31. http://doi.org/10.4018/jamc.2013010102

Chicago

Yaghini, Masoud, Maryam Setayesh Sanai, and Hossein Amin Sadrabady. "Passenger Train Delay Classification," International Journal of Applied Metaheuristic Computing (IJAMC) 4, no.1: 21-31. http://doi.org/10.4018/jamc.2013010102

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Abstract

One of the most popular data mining areas, which estimate future trends of data, is classification. This research is dedicated to predict Iranian passenger train delay with high accuracy over Iranian railway network. A hybrid method based on neuro-fuzzy inference system and Two-step clustering is used for this purpose. The results indicate that the hybrid method is superior over the other common classification methods. The result can be used by train dispatcher to accurate schedule trains to diminish train delay average.

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