Improved Fault Classification in Series Compensated Transmission Line: Comparative Evaluation of Chebyshev Neural Network Training Algorithms.
IEEE Transactions on Neural Networks and Learning Systems(2016)
摘要
This paper presents the Chebyshev neural network (ChNN) as an improved artificial intelligence technique for power system protection studies and examines the performances of two ChNN learning algorithms for fault classification of series compensated transmission line. The training algorithms are least-square Levenberg-Marquardt (LSLM) and recursive least-square algorithm with forgetting factor (RL...
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关键词
Chebyshev approximation,Training,Power transmission lines,Artificial neural networks,Vectors,Algorithm design and analysis
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