Title
An Experimental Design for Processing Parameter Optimization for Cathode Arc Plasma Deposition of ZnO Films.
Abstract
An experimental design utilizing artificial neural networks (ANNs), the Taguchi method, and the genetic algorithm (GA) is proposed to obtain optimal processing parameters for cathode arc plasma deposition of ZnO thin films on a glass substrate. The Taguchi method's orthogonal array is used to minimize the number of required experiments and to gather the experimental data. An ANN is then used to co...
Year
DOI
Venue
2016
10.1109/TASE.2016.2572223
IEEE Transactions on Automation Science and Engineering
Keywords
Field
DocType
Zinc oxide,II-VI semiconductor materials,Genetic algorithms,Signal to noise ratio,Thin films,Artificial neural networks
Orthogonal array,Mathematical optimization,Computer science,Signal-to-noise ratio,Electronic engineering,Transmittance,Taguchi methods,Plasma,Thin film,Cathode,Optoelectronics,Electrical resistivity and conductivity
Journal
Volume
Issue
ISSN
13
4
1545-5955
Citations 
PageRank 
References 
1
0.38
15
Authors
5
Name
Order
Citations
PageRank
Shuo-Fu Hsu110.38
Min-Hang Weng214.10
Ru-yuan Yang313.08
Chun-Hsiung Fang441.13
jyhhorng5213.61