Paper Information

Journal:   IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE)   WINTER-SPRING 2004 , Volume 3 , Number 1; Page(s) 62 To 65.
 
Paper: 

PRINCIPAL COMPONENT ANALYSIS APPROACH TO REDUCTION OF MEASUREMENT DIMENSIONALITY IN 3D IMPEDANCE TOMOGRAPHY

 
 
Author(s):  STASIAK M., NITA K., FILIPOWICZ S. F., SIKORA J.
 
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Abstract: 

The main idea of this paper is to present the Principal Component Analysis (PCA) approach in order to reduce dimensionality of measured data for three-dimensional impedance tomography. The reconstruction method is based on the inverse mapping with the aid of the Multi Layer Perceptron neural network. The inverse problem solution provides the identification of the radius and the position of the object placed inside the cylindrical tank.

 
Keyword(s): ELECTRICAL IMPEDANCE TOMOGRAPHY, PRINCIPAL COMPONENT ANALYSIS, PCA
 
References: 
 
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