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    Neural Networks in Transport Applications

    Neural Networks in Transport Applications

    Forfatter: info mangler
    Bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    First published in 1998, this volume enters the debate on human behaviour in the form of neural networks in a spatial context. As most transportation research techniques had been developed in the 1960s and 1970s, these authors sought to bring that research into the modern era. Featuring 17 articles from 37 contributors, it begins with an overview and proceeds to examine aspects of travel behaviour, traffic flow and traffic management.

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    Detaljer
    • SprogEngelsk
    • Sidetal367
    • Udgivelsesdato12-02-2020
    • ISBN139781138334540
    • Forlag Routledge
    • FormatPaperback
    Størrelse og vægt
  • Vægt453 g
    • coffee cup img
    10 cm
    book img
    15,2 cm
    21,9 cm

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    Human behaviour Neural networks Public policy Traffic management Ann Model Average Daily Travel Backpropagation ANNs Backpropagation Neural Network CNN Model Daily Travel Distances Flow Density Relationships Data Sets Inflow Links Error Propagation Equations Logit Model LR Value Hidden Units Incident Detection Incident Detection Algorithms Speed Density Curve Traffic Flow Variables Lane Change Decision Speed Flow Density Relationships Multilayered Feedforward Artificial Neural Networks Training Ann Model Present Travel Time Travel Time Prediction Model Speed Density Relationship RMS Error
    Machine Name: SAXO082