Neural Network Application for Predicting Impact of Trip reduction Strategies - Technical Memorandum #3: Application Development

Authors

Rafael Perez
Francis Cleland
Philip L. Winters, University of South FloridaFollow
Mark Burris
Michael Pietrzyk

Document Type

Technical Report

Publication Date

9-1-1997

Keywords

neural network technology, neural network model performance, SCAQMD, FDOT, trip reduction plans

Rights Information

Terms of use for work posted in Scholar Commons.

Citation / Publisher Attribution

Neural Network Application for Predicting Impact of Trip reduction Strategies - Technical Memorandum #3: Application Development, Center for Urban Transportation Research, University of South Florida, 71 p.

Scholar Commons Citation

Perez, Rafael; Cleland, Francis; Winters, Philip L.; Burris, Mark; and Pietrzyk, Michael, "Neural Network Application for Predicting Impact of Trip reduction Strategies - Technical Memorandum #3: Application Development" (1997). CUTR Research Reports. 91.
https://digitalcommons.usf.edu/cutr_reports/91