Application of artificial neural networks and partial least squares regression for modelling Kappa number in a continuous Kamyr digester

Due to the lack of on-line sensors many important quality variables in pulp and paper manufacture are only measured infrequently and off-line in a quality control laboratory. Hence, there is a great incentive to build inferential models from plant data that are capable of predicting these quality variables on a more frequent basis. Such models can be used to monitor the process operation or, with suitable precautions, to build inferential …