Optimal feature retrieval for classification of non-stationary Power Quality disturbances
暂无分享,去创建一个
[1] Zwe-Lee Gaing. Wavelet-based neural network for power disturbance recognition and classification , 2004, IEEE Transactions on Power Delivery.
[2] S. Santoso,et al. Power quality assessment via wavelet transform analysis , 1996 .
[3] Y. Meyer. Wavelets and Operators , 1993 .
[4] Ingrid Daubechies,et al. The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.
[5] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[6] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[7] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[8] A. Y. Chikhani,et al. Power quality detection and classification using wavelet-multiresolution signal decomposition , 1999 .
[9] Edward J. Powers,et al. Power quality disturbance waveform recognition using wavelet-based neural classifier. II. Application , 2000 .
[10] Nello Cristianini,et al. Large Margin DAGs for Multiclass Classification , 1999, NIPS.
[11] Math Bollen,et al. Understanding Power Quality Problems: Voltage Sags and Interruptions , 1999 .
[12] Edward J. Powers,et al. Power quality disturbance waveform recognition using wavelet-based neural classifier. I. Theoretical foundation , 2000 .
[13] Stéphane Mallat,et al. A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[14] Chih-Jen Lin,et al. A comparison of methods for multiclass support vector machines , 2002, IEEE Trans. Neural Networks.