Paper Title:
The TP Chromatic Aberration Estimation by Using Neural Networks
  Abstract

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.

  Info
Periodical
Chapter
Chapter 7: Computer Application in Design and Manufacturing (2)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4239-4243
DOI
10.4028/www.scientific.net/AMM.121-126.4239
Citation
D. J. Huang, Y. J. Chen, H. C. Huang, Y. A. Lin, R. C. Hwang, "The TP Chromatic Aberration Estimation by Using Neural Networks", Applied Mechanics and Materials, Vols. 121-126, pp. 4239-4243, 2012
Online since
October 2011
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Price
$32.00
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