The Prediction of Ink Thickness of Touch Panel by Neural Network

The thickness of printing ink on touch panel is an important work, which is related with the quality of panel in real use. Therefore, how to make a well control in the film printing of touch panel is very important work in the manufacturing process of touch panel. In this paper, the prediction of ink thickness of touch panel based on neural technique is proposed. This intelligent predictor is expected to provide the accurate information about the control parameters so that the technician could make a good setting work before the panel is on the real-line manufacturing operation. Without enough experiences, the junior technician still can make a good decision in the setting of control parameters for ink printing based on this predictor. Thus, this intelligent prediction system not only can help technicians and greatly improve their working efficiency, but also can save the cost of production.