Modeling of gain tuning operation for hot strip looper controller by recurrent neural network

In this paper, neural network model representing gain modulating action by human was developed for looper height controller in hot strip mills. The developed neural network model is that of the recurrent type neural network (RNN), which calculates the appropriate PID, gains of looper height controller based on the modification data of human operation as the… CONTINUE READING