A comparison between neural networks and multiple regression approaches for developing freight trip generation and modal split models with specific applications to Florida's deep seaports

Author

Ashraf A. El Maghraby, University of Central Florida

Keywords

Freight and freightage -- Florida, Neural networks (Computer science), Trucking -- Florida

Notes

This item is only available in print in the UCF Libraries. If this is your thesis or dissertation, you can help us make it available online for use by researchers around the world by downloading and filling out the Internet Distribution Consent Agreement. You may also contact the project coordinator Kerri Bottorff for more information.

Graduation Date

Spring 2000

Advisor

Al-Deek, Haitham M.

Degree

Master of Science (M.S.)

College

College of Engineering

Department

Civil and Environmental Engineering

Degree Program

Transportation Systems Engineering

Format

Print

Language

English

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

Subjects

Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic

STARS Citation

El Maghraby, Ashraf A., "A comparison between neural networks and multiple regression approaches for developing freight trip generation and modal split models with specific applications to Florida's deep seaports" (2000). Retrospective Theses and Dissertations. 1829.
https://stars.library.ucf.edu/rtd/1829