Unloading arm movement modeling using neural networks for a rotary hearth furnace

Abstract

Neural networks are being applied in many fields of engineering having nowadays a wide range of application. Neural networks are very useful for modeling dynamic processes for which the mathematical modeling is hard to obtain, or for processes that can’t be modeled using mathematical equations. This paper describes the modeling process for the unloading arm movement from a rotary hearth furnace using neural networks with back propagation algorithm. In this case the designed network was trained using the simulation results from a previous calculated mathematical model.

Keywords

• Rotary hearth furnace
• unloading machine
• neural network
• back propagation algorithm
• parallel structure