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The chromatic aberration estimation of TP film by using quasi-Newton neural networks

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6 Author(s)
Rey-Chue Hwang ; Electrical Engineering Department, I-Shou University, Taiwan ; Yu-An Lin ; Chi-Yen Shen ; Shang-Jen Chuang
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This paper presents the chromatic aberration estimations of touch panel (TP) film by using quasi-Newton neural networks. The data of TP film with one layer coating was studied and simulated. Through the training of neural network, the complex relationship between the chromatic aberration, i.e., L.A.B. values, and the relative parameters of TP decoration film can be obtained. From the simulation results shown, the estimation of chromatic aberration of TP film is quite accurate and promising. That means an artificial intelligent (AI) estimator for the physical properties of TP film is possibly developed. Based on this AI estimator, the relative control parameters of evaporation process could be set in advance such that the quality of TP could meet the customer's request.

Published in:

Signal Processing, Communications and Computing (ICSPCC), 2011 IEEE International Conference on

Date of Conference:

14-16 Sept. 2011