EXPLORING TRAFFIC SYSTEMS BY ELASTICITY ANALYSIS OF NEURAL NETWORKS. IN: NEURAL NETWORKS IN TRANSPORT APPLICATIONS

This paper discusses the common theme of using neural networks, coupled with a technique of elasticity analysis, in order to reach a better understanding of transportation related problems. Elasticity analysis is defined as the systematic exploration of an input-output process by observing how the output changes with respect to the input. The work described concentrates on backpropagation neural networks which have been found to be a particularly suitable and widely used paradigm in transportation.

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  • Corporate Authors:

    Ashgate Publishing Company

    110 Cherry Street, Suite 3-1
    Burlington, VT  United States  05401-3818
  • Authors:
    • Dougherty, M
  • Publication Date: 1998

Language

  • English

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Filing Info

  • Accession Number: 00796286
  • Record Type: Publication
  • ISBN: 184014808X
  • Files: TRIS
  • Created Date: Jul 26 2000 12:00AM