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Optical IF signal distribution circuits for DBS receivers

Frequency deviation measuring circuit system for square-wave-FM signal

The use of H/sub infinity / filters for linear demodulation and equalization

Two-phase decimation and jitter compensation in full-duplex data transceivers (for ISDN)

Power system security assessment using a hybrid expert system/neural network architecture

Hybrid fault analysis system using neural networks and artificial intelligence

Pointwise control of dynamical systems using an optimal decision strategy with neural network trajectory learning

Decentralized power system voltage control using artificial neural networks

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Feature selection for static security assessment using neural networks

On the relationships between motion and aliasing in typical video rasters

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Feature selection for static security assessment using neural networks

Content Provider	IEEE Xplore Digital Library
Author	Weerasooriya, S. El-Sharkawi, M.A.
Copyright Year	1992
Description	Author affiliation: Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA (Weerasooriya, S.; El-Sharkawi, M.A.)
Abstract	Addresses the issue of the curse of dimensionality with respect to building neural network classifiers for large-scale power systems. Rather than using all the available measurement variables as classifier inputs, the authors use statistical techniques to extract features with maximum first- and second-order discriminatory information. The selected features are then used as inputs for training and testing the layered perceptron classifier. Classification in the resulting lower-dimensional space leads to reduced complexity and enhanced accuracy. The resulting compact classifier is easier to build in terms of both hardware and software. The concepts were proved through simulations on the extended IEEE-8 bus and 30-bus systems.<>
Starting Page	1693
Ending Page	1696
File Size	358556
Page Count	4
File Format	PDF
ISBN	0780305930
DOI	10.1109/ISCAS.1992.230350
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-05-10
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Power system security Data security Power system measurements Large-scale systems Data mining Feature extraction Pattern recognition Power system simulation Testing
Content Type	Text
Resource Type	Article

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