Patent ID: 6745169
Filing Date: 2004-06-01
Classification: B21B,G05B,G06N

Abstract:
A method for controlling an industrial process using a neural network, the industrial process having at least one time-variable parameter, the neural network including a control neural network and a background neural network, the method comprising the steps of:training the control neural network using current process data to generate a current process model over a first predetermined time period; training the background neural network using representative process data to generate an averaged process model of the industrial process over a second predetermined time period, the representative process data being different than the current process data, the second predetermined time period being longer than the first predetermined time period; determining a parameter of the at least one time-variable parameter of the industrial process using the current process model; and controlling the industrial process as a function of the determined parameter; wherein at least some of i) the current process data, or ii) the representative process data, are successively forgotten.