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The paper presents an intelligent control mechanism for the ITO bar's resistance of touch panel (TP). The artificial neural network is used to catch the complex relationship between bar's resistance and its relevant manufacturing parameters during the printing and etching processes. An effective and accurate manufacturing mechanism of ITO bar is expected to be developed. This mechanism can be taken...
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...
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