Minimizing Environmental Swings with a Recurrent Neural Network Control System

Sam Skrivan, Dr. Jianna Zhang, Dr. Debra Jusak

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.

Subjects: 14. Neural Networks; 15.3 Control

Submitted: Apr 4, 2005


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