Reinforcement Learning & Artificial Neural Networks (1996)
by
Sirous Kavehercy
BibTeX
@MISC{Kavehercy96reinforcementlearning,
author = {Sirous Kavehercy},
title = {Reinforcement Learning & Artificial Neural Networks},
year = {1996}
}
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Abstract
In this master's thesis we are going to study the use of artificial neural networks in the control of a water vessel process. Water vessel process is highly nonlinear and conventional methods of control from control theory do not yet provide optimal solutions to the control of such processes. The ability of artificial neural networks to approximate nonlinear functions could therefore be effectively used in the optimal control of nonlinear dynamic systems, where the relationship between the state of the system and the control signals is mostly nonlinear and unknown.
