Hybrid GA Based Online Support Vector Machine Model for Short-Term Traffic Flow Forecasting-Reference-Cited by-同舟云学术

Hybrid GA Based Online Support Vector Machine Model for Short-Term Traffic Flow Forecasting

Published: Issue: Volume: Page:743-752
ISSN:
Container-title:Lecture Notes in Computer Science
language:
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Author:

Su Haowei,Yu Shu

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-76837-1_80.pdf

Reference25 articles.

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2. Yang, Z.S., Gu, Y.: Real time and dynamic traffic flow forecast research. Journal of Highway and Transportation Research and Development 15(3), 4–7 (1998)

3. Yang, Z.S.: Theories and models of urban traffic guidance system. China Communications Press, Beijing (2000)

4. Li, C.J., Yang, R.G., Zhang, J.S.: Traffic flow forecasts based on wavelet analysis. Journal of Computer Applications 23(12), 7–8 (2003)

5. He, G.J., Li, Y., Ma, S.F.: Short-term traffic flow prediction based on mathematic models. Systems engineering-theory & practice 12, 51–56 (2000)

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