Title :
Transmittance Estimation of TP Decoration Film by QNN
Author :
Huang, Du-Jou ; Yang, Jen-Pin ; Chen, Yu-Ju ; Liu, Fang-Tsung ; Chang, Chuo-Yean ; Hwang, Rey-Chue
Author_Institution :
Electr. Eng. Dept., I-Shou Univ., Kaohsiung, Taiwan
Abstract :
In this paper, the transmittance estimation of touch panel decoration film by using quantum neural network (QNN) is proposed. This model is able to catch the complex relationship between the film´s transmittance and its possible influencing factors. An artificial intelligent (AI) mechanism for the decision of control parameters of film evaporation is expected to be developed. Based on this AI mechanism, the technician could make a good setting work for the real-line evaporation process. Thus, this system not only can help the technician to improve the efficiency of the touch panel, but also can reduce the cost caused by the defective products for the company.
Keywords :
artificial intelligence; decorative coatings; neural nets; thin film devices; thin films; touch sensitive screens; QNN; TP decoration film; cost reduction; film evaporation; film transmittance; quantum neural network; real-line evaporation process; touch panel decoration film; transmittance estimation; Analytical models; Artificial neural networks; Data models; Estimation; Films; Process control; Training; decoration film; estimation; quantum neural network; transmittance;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
DOI :
10.1109/ICGEC.2010.38
