College

College of Engineering

Department

Computer Engineering Department

Degree Name

BS in Computer Engineering

Date

6-2019

Advisor(s)

Davide Falessi

Abstract/Summary

This project was designed to explore and analyze the potential abilities and usefulness of applying machine learning models to data collected by parking sensors at a major metro shopping mall. By examining patterns in rates at which customer enter and exit parking garages on the campus of the Bellevue Collection shopping mall in Bellevue, Washington, a recurrent neural network will use data points from the previous hours will be trained to forecast future trends.

dataModel.py (3 kB)
Source Code for LSTM Model Implementation

dataTransformSki.py (2 kB)
Supplemental File

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