Research Symposium

22nd annual Undergraduate Research Symposium

Katelyn Fischer She/Her Poster Session 7: 3:30-4:15/Poster #49


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BIO


Hello, my name is Katelyn Fischer and I am from St. Petersburg, Florida. I am a computer science major studying to work in the gaming industry when I graduate.

Generating A Fire Spread Model

Authors: Katelyn Fischer, Xin Tong
Student Major: Computer Science
Mentor: Xin Tong
Mentor's Department: Computational Science
Mentor's College: Arts and Sciences
Co-Presenters:

Abstract


This project uses two different neural network models to calculate how fire grows and spreads. A computational model is then applied to the neural network to create the fire spread model. The two types of neural network models that are used are a general convolutional model and a UNet model. These models were compared to each other based on their accuracy. The accuracy is measured by the level of error each model generates. It is also based on the accuracy of the calculated fire model versus the neural network generated fire model. Testing multiple models allows us to choose which model would work best for the project and provide the most accurate data on how fire spreads.

Keywords: fire model, neural network, computational model