Artificial neural network modeling and control of paper machine headbox parameters

Artificial Neural Network (ANN) techniques have grown rapidly in recent years, due to high computational rate and a good ability to control nonlinear control. This paper presents classical and ANN controllers for headbox parameters. The ANN is simulated and analyzed using MATLAB Simulink. The neural network controller is used to determine real-time values for headbox parameters. A comparison is made between classical and ANN controllers.