Clustering-Neural Network Models For Freeway Work Zone Capacity Estimation

Abstract

Two neural network models, called clustering-RBFNN and clustering-BPNN models, are created for estimating the work zone capacity in a freeway work zone as a function of seventeen different factors through judicious integration of the subtractive clustering approach with the radial basis function (RBF) and the backpropagation (BP) neural network models. The… (More)
DOI: 10.1142/S0129065704001954

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