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

fYear

2010

fDate

13-15 Dec. 2010

Firstpage

122

Lastpage

125

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICGEC.2010.38

Filename

5715386