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
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)