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

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STASIAK M.; NITA K.; FILIPOWICZ S. F.; SIKORA J.

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Paper Information

Journal: IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE) Year:2004 | Volume:3 | Issue:1 Page(s): 62-65

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Title

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

Author(s)

STASIAK M. | NITA K. | FILIPOWICZ S. F. | SIKORA J. | Issue Writer Certificate

Keywords

ELECTRICAL IMPEDANCE TOMOGRAPHY

PRINCIPAL COMPONENT ANALYSIS

PCA

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.

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APA: Copy

STASIAK, M., NITA, K., FILIPOWICZ, S. F., & SIKORA, J.. (2004). PRINCIPAL COMPONENT ANALYSIS APPROACH TO REDUCTION OF MEASUREMENT DIMENSIONALITY IN 3D IMPEDANCE TOMOGRAPHY. IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE), 3(1), 62-65. SID. https://sid.ir/paper/283314/en

Vancouver: Copy

STASIAK M., NITA K., FILIPOWICZ S. F., SIKORA J.. PRINCIPAL COMPONENT ANALYSIS APPROACH TO REDUCTION OF MEASUREMENT DIMENSIONALITY IN 3D IMPEDANCE TOMOGRAPHY. IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE)[Internet]. 2004;3(1):62-65. Available from: https://sid.ir/paper/283314/en

IEEE: Copy

M. STASIAK, K. NITA, S. F. FILIPOWICZ, and J. SIKORA, “PRINCIPAL COMPONENT ANALYSIS APPROACH TO REDUCTION OF MEASUREMENT DIMENSIONALITY IN 3D IMPEDANCE TOMOGRAPHY,” IRANIAN JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING (IJECE), vol. 3, no. 1, pp. 62–65, 2004, [Online]. Available: https://sid.ir/paper/283314/en

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