NEURAL NETWORKS AS ADAPTIVE LOGIT MODELS. IN: NEURAL NETWORKS IN TRANSPORT APPLICATIONS

Artificial neural networks (ANN), or neural networks (NN) have become increasingly popular over the last few years. ANNs have been applied to a variety of problems in transportation engineering, including pavement maintenance, vehicle detection/classification, traffic pattern analysis and traffic control. There have been fewer applications in the area of transportation economics and policy. This paper will demonstrate a unique connection between the multilayer feedforward neural network model and the binary logit model, where the former may be classified as a logit model without the restriction of linearity in the parameters in the utility function.

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  • Corporate Authors:

    Ashgate Publishing Company

    110 Cherry Street, Suite 3-1
    Burlington, VT  United States  05401-3818
  • Authors:
    • Schintler, L A
    • Olurotimi, O
  • Publication Date: 1998

Language

  • English

Media Info

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Filing Info

  • Accession Number: 00796282
  • Record Type: Publication
  • ISBN: 184014808X
  • Files: TRIS
  • Created Date: Jul 25 2000 12:00AM