Neural network based movement models to improve the predictive utility of entity state synchronization methods for distributed simulations

Author

Amy Elizabeth Henninger, University of Central Florida

Keywords

Electronic data processing -- Distributed processing, Neural networks (Computer science), Observation (Educational method)

Notes

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Graduation Date

Fall 2000

Advisor

Gonzalez, Avelino J.

Degree

Doctor of Philosophy (Ph.D.)

College

College of Engineering

Department

Electrical Engineering and Computer Science

Format

Print

Language

English

Length of Campus-only Access

None

Access Status

Doctoral Dissertation (Open Access)

Subjects

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

STARS Citation

Henninger, Amy Elizabeth, "Neural network based movement models to improve the predictive utility of entity state synchronization methods for distributed simulations" (2000). Retrospective Theses and Dissertations. 1867.
https://stars.library.ucf.edu/rtd/1867