Local overfitting control via leverages
Neural Computation
A SOM-based data mining strategy for adaptive modelling of an offset lithographic printing process
Engineering Applications of Artificial Intelligence
Engineering Applications of Artificial Intelligence
A SOM based model combination strategy
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Combining traditional and neural-based techniques for ink feed control in a newspaper printing press
ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications
Expert Systems with Applications: An International Journal
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A multiple model-based controller has been developed aiming at controlling the ink flow in the offset lithographic printing process. The control system consists of a model pool of four couples of inverse and direct models. Each couple evaluates a number of probable control signals and the couple, generating the most suitable control signal is used to control the printing press, at that moment. The developed system has been tested at a newspaper printing shop during normal production. The results show that the developed modelling and control system is able to drive the output of the printing press to the desired target levels.