DocumentCode
3346850
Title
A Novel Method for Bubble Identification Based on ANN
Author
Zhang, Zi ; Huang, Ting-Lei
Author_Institution
Sch. of Comput. & Control, Guilin Univ. of Electron. Technol., Guilin, China
fYear
2009
fDate
14-17 Oct. 2009
Firstpage
301
Lastpage
305
Abstract
OPC is difficult to identify the released bubble in the process of the sample flowing, thus affecting the counting efficiency. This paper presents a bubble Identification method based on ANN, by increasing the number of detection angle and choosing the lateral light structure, conducive to ANN processing FD samples, according to the different refractivity to distinguish bubble. Simulation results validate the feasibility and effectiveness.
Keywords
bubbles; computational fluid dynamics; neural nets; refractive index; ANN; OPC; bubble identification; counting efficiency; detection angle; lateral light structure; refractivity; Artificial neural networks; Calibration; Equations; Neurons; Nonlinear optics; Optical computing; Optical refraction; Optical scattering; Refractive index; Voltage; ANN; bubble identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location
Guilin
Print_ISBN
978-0-7695-3899-0
Type
conf
DOI
10.1109/WGEC.2009.209
Filename
5402889
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