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
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;
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
DOI :
10.1109/WGEC.2009.209
