A Radial Basis Neural Network for the Analysis of Transportation Data

A Radial Basis Neural Network for the Analysis of Transportation Data

This thesis describes the implementation of a Radial Basis Function (RBF) network to be used in predicting the effectiveness of various strategies for reducing the Vehicle Trip Rate (VTR) of a worksite. Three methods of learning were utilized in training the Gaussian hidden units of the network, tho...

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Bibliographic Details
Main Author:	Aguilar, David P
Format:	Others
Published:	Scholar Commons 2004
Subjects:	radial basis function learning optimization gaussian units back propagation regression analysis American Studies Arts and Humanities
Online Access:	https://scholarcommons.usf.edu/etd/938 https://scholarcommons.usf.edu/cgi/viewcontent.cgi?article=1937&context=etd

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