会议专题

The TP Chromatic Aberration Estimation by Using Neural Networks

  The chromatic aberration estimations of touch panel (TP) film by using neural networks are presented in this paper.The neural networks with error back-propagation (BP) learning algorithm were used to catch the complex relationship between the chromatic aberration,i.e.,L.A.B.values,and the relative parameters of TP decoration film.An artificial intelligent (AI) estimator based on neural model for the estimation of physical property of TP film is expected to be developed.From the simulation results shown,the estimations of chromatic aberration of TP film are very accurate.In other words,such an AI estimator is quite promising and potential in commercial using.

Chromatic aberration estimation touch panel neural network

Du-Jou Huang Yu-Ju Chen Huang-Chu Huang Yu-An Lin Rey-Chue Hwang

Electrical Engineering Department, I-Shou University, Kaohsiung, Taiwan Information Management Department, Cheng Shiu University, Kaohsiung, Taiwan Electric Communication Department, National Kaohsiung Marine University, Kaohsiung, Taiwan

国际会议

the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

台湾

英文

4239-4243

2011-12-11(万方平台首次上网日期,不代表论文的发表时间)