Evaluating the performance of artificial neural networks for estimating the nonmetallic coating thicknesses with time-resolved thermography-Reference-Cited by-同舟云学术

Evaluating the performance of artificial neural networks for estimating the nonmetallic coating thicknesses with time-resolved thermography

Published:2014-08-13 Issue:8 Volume:53 Page:083102
ISSN:0091-3286
Container-title:Optical Engineering
language:en
Short-container-title:Opt. Eng

Author:

Wang Hongjin¹,Hsieh Sheng-Jen²,Stockton Alex¹

Affiliation:

1. Texas A&M University, Dwight Look College of Engineering, Department of Mechanical Engineering, College Station, Texas 77840, United States

2. Texas A&M University, Dwight Look College of Engineering, Department of Mechanical Engineering, College Station, Texas 77840, United StatesbTexas A&M University, Dwight Look College of Engineering, Department of Engineering Technology and Industrial Distr

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

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