In this paper, the estimations for the optical property of touch panel (TP) decoration film with two layers coating are presented. The technique of neural network is used to develop an artificial intelligent (AI) TP transmittance estimator which is able to catch the complicated relationship between TP transmittance and its all possible influencing factors, such as the compositions of coating material, the thickness of coating, the rotation speed of evaporator?s holder and so on. This AI estimator then can provide the useful information which could help the engineer to set the relevant control parameters of evaporator properly before the evaporation process is taken. The simulation results show that such an AI system is quite promising to be developed.
Digital Object Identifier (DOI)
Huang, Du-Jou; Chen, Yu-Ju; Chang, Chuo-Yean; Huang, Huang-Chu; and Hwang, Rey-Chue
"The Transmittance Estimation of Two Layers Coating TP Film by Neural Network,"
Applied Mathematics & Information Sciences: Vol. 08:
1, Article 33.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol08/iss1/33