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A k-nearest neighbor classifier with online learning procedure for steady-state security assessment is introduced. A dynamic sample set and the related sample editing strategies are proposed. The dynamic samples can keep tracking the operation status of power system to minimize classification error. It is implemented through editing the dynamic samples according to their online performances. The classification...
Data classification has been studied widely in the fields of Artificial Intelligence, Machine Learning, Data Mining and Pattern Recognition. Up to the present, the development of classification has made great achievements, and many kinds of classified technology and theory will continue to emerge. This paper discusses a great deal of classification algorithms based on the Artificial Neural Networks,...
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