The TP Chromatic Aberration Estimation by Using Neural Networks

Abstract:

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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:

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 et al., "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:

$35.00

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