Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A General Two-Stage Approach to Inducing Rules from Examples
RSKD '93 Proceedings of the International Workshop on Rough Sets and Knowledge Discovery: Rough Sets, Fuzzy Sets and Knowledge Discovery
Reduce Feature Based NN for Transient Stability Analysis of Large-Scale Power Systems
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Artificial Neural Network and Hidden Space SVM for Fault Detection in Power System
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
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The paper adopts rough sets theory and fuzzy ARTMAP method to explore the online adaptive contingency classification in power system transient stability control. On the basis of contingency vector space model, the rough sets theory is applied to generalize the information system comprised by contingency samples set, and compute the best reducing properties set. So dimension of contingency feature space is reduced greatly, and disturbance in contingency classification is decreased too, which improves the efficiency of classification. In addition, using the advantage of adaptive classification and incremental learning of Fuzzy ARTMAP neural network, the online adaptive classification of contingency is achieved.