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

Keywords

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

Notes

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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

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