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Artificial neural networks for the computation of traffic queues

  • Neural Networks for Communications, Control and Robotics
  • Conference paper
  • First Online:
Biological and Artificial Computation: From Neuroscience to Technology (IWANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1240))

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Abstract

In this paper we present the results of our experimentation with artificial neural networks for computing traffic queues. These results are compared with the performance of other training methods. The neural scores are slightly better than those obtained by symbolic procedures. But a deeper analysis suggests the convenience of a hybrid device to try to get the best outcomes from each method in each situation.

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Bibliography

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Author information

Authors and Affiliations

  1. Centro de Inteligencia Artificial, Universidad de Oviedo at Gijón, Campus de Viesques, E-33271, Gijón, Spain

    Pedro Hernández-Arauzo, Secundino López-García & Antonio Bahamonde

Authors
  1. Pedro Hernández-Arauzo
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  2. Secundino López-García
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  3. Antonio Bahamonde
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Editor information

José Mira Roberto Moreno-Díaz Joan Cabestany

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© 1997 Springer-Verlag Berlin Heidelberg

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Hernández-Arauzo, P., López-García, S., Bahamonde, A. (1997). Artificial neural networks for the computation of traffic queues. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032589

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  • DOI: https://doi.org/10.1007/BFb0032589

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63047-0

  • Online ISBN: 978-3-540-69074-0

  • eBook Packages: Springer Book Archive

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