Application of PSO algorithm and RBF neural network in electrical impedance tomography

ICEMI 2009 - Proceedings of 9th International Conference on Electronic Measurement and Instruments

Volumn , Issue , 2009, Pages 2517-2521

  Wang, Peng ^a   Xie, Lili ^b   Sun, Yicai ^a  

^a HEBEI UNIVERSITY OF TECHNOLOGY   (China)

^b TIANJIN VOCATIONAL INSTITUTE   (China)

Author keywords

Connection weights adjustment; Electrical impedance tomography; Particle swarm optimization; RBF neural network; Reconstruction image

Indexed keywords

CONNECTION WEIGHTS; DATA COLLECTING SYSTEM; ELECTRICAL IMPEDANCE TOMOGRAPHY; METHOD OF IMAGES; PARTICLE SWARM OPTIMIZATION ALGORITHM; PSO ALGORITHMS; RBF NETWORK; RBF NEURAL NETWORK; RECONSTRUCTION IMAGE QUALITY; RESISTIVITY DISTRIBUTIONS; RESISTIVITY MEASUREMENT; SEMI-CONDUCTOR WAFER; SIMULATION EXPERIMENTS;

ALGORITHMS; COMPUTER SIMULATION; DIAGNOSTIC RADIOGRAPHY; ELECTRIC IMPEDANCE; ELECTRIC IMPEDANCE MEASUREMENT; ELECTRIC IMPEDANCE TOMOGRAPHY; IMAGE QUALITY; IMAGE RECONSTRUCTION; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; REPAIR; SILICON WAFERS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 71549119209     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEMI.2009.5274525     Document Type: Conference Paper

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