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Feature Reduction for Neural Network based Small-Signal Stability Assessment, PSCC 2002, Sevilla, Spain, June 24-28, 2002

by Teeuwsen, S.P.; Erlich, I.; El-Sharkawi, M.A.

Abstract (Summary)
This paper introduces several feature extraction and selection techniques.Previous studies showed good results when neural networks are applied to the small-signal stability assessment. However the use of reduction techniques can decrease the number of features and thus the number of quantities, which need to be observed, measured and transmitted, respectively.
Bibliographical Information:

Advisor:none

School:Universität Duisburg-Essen, Standort Essen

School Location:Germany

Source Type:Master's Thesis

Keywords:elektrotechnik universitaet duisburg essen

ISBN:

Date of Publication:04/14/2003

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