Undergraduate Research & Mentoring Program
Advisor
Alexander Hunt
Document Type
Presentation
Publication Date
Fall 10-16-2020
Subjects
Neural networks (Computer science), Memory management (Computer science), Machine learning
Abstract
Recurrent neural networks (RNNs) are a form of machine learning used to predict future values. This project uses RNNs tor predict future values for a flight simulator. Coded in Python using the Keras library, the model demonstrates training loss and validation loss, referring to the error when training the model.
Persistent Identifier
https://archives.pdx.edu/ds/psu/34195
Citation Details
Sabatini, Nickolas and Natsis, Andreas, "Flight Simulator Modeling Using Recurrent Neural Networks" (2020). Undergraduate Research & Mentoring Program. 43.
https://archives.pdx.edu/ds/psu/34195
COinS