An intelligent data mining technique for the estimations of TP film's chromatic aberration

This paper presents a novel intelligent data mining technique to estimate the optical properties of touch panel (TP) with different layers coating. The neural network (NN) model is developed to be the intelligent tool for the data analyzer. The new computational method based on well-trained NN's weights is used to analyze the influencing factors of TP film's chromatic aberration, i.e. L.a.b. values. The influence degree of each input variable to the net output could be determined through the computational results. The useful and important information for TP film's chromatic aberration then can be obtained. In this research, the data of TP film with Cr and Cr
₂
O
₃
coating are studied. All possible influencing factors are collected and considered. An artificial intelligent (Al) estimator using the best influencing factors is expected to be developed so that the optical properties of TP decoration film could be precisely estimated before the evaporation process is taken.