A Comparison of Traffic Flow Prediction Methods Based on DBN-Reference-Cited by-同舟云学术

A Comparison of Traffic Flow Prediction Methods Based on DBN

Published:2016-06-29 Issue: Volume: Page:
ISSN:
Container-title:CICTP 2016
language:
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Author:

Tan Huachun¹¹¹¹²,Xuan Xuan¹¹¹¹²,Wu Yuankai¹¹¹¹²,Zhong Zhiyu¹¹¹¹²,Ran Bin¹¹¹¹²

Affiliation:

1. Dept. of Transportation Engineering, Beijing Institute of Technology, Beijing 100081, China.

2. Dept. of Civil and Environmental Engineering, Univ. of Wisconsin-Madison, 1415 Engineering Dr., Madison, WI 53706.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784479896.026

Reference15 articles.

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3. Bengio Y. Lamblin P. Popovici D. etal (2007). "Greedy layer-wise training of deep networks[J]." Advances in neural information processing systems 2007 19: 153.

4. Learning Deep Architectures for AI

5. Caltrans Performance Measurement System (PeMS). (2014). [Online].Available: http://pems.dot.ca.gov

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