Minimizing Environmental Swings with a Recurrent Neural Network Control System

Book One

Volume

Proceedings of the AAAI Conference on Artificial Intelligence, 20

Student Abstracts

Maintaining environmental stability in a dynamic system is a difficult challenge. In your living room, when you set your thermostat to 68 degrees the actual temperature cycles above and below 68 degrees. We use a Recurrent Neural Network (RNN) in an Aquarium Control System that reduces such environmental swings.