Modeling of heat transfer process by using discrete fractional-order neural networks

This paper deals with a discrete fractional-order neural network and its application for modeling of a heat transfer process. Proposed neural network is implemented in Matlab/Simulink and applied to the heater which is a part of the equipment Armfield PCT40. Results obtained from experiments presented in the article show that the fractional-order neural network properly modeled the unknown dynamics.