5YUAN S F,CHU F L.Support vector machines-based fault diagnosis for turbo-pump rotor[J].Mechanical Systems and Signal Processing,2006,20(4):939-952.
6CHAPELLE O,VAPNIK V,BOUSQUET O,et al.Choosing multiple parameters for support wector machines[J].Machine Learning,2002,46(1):131-160.
7CHEN P W,WANG J G,LEE H.Model selection of SVM using GA approach[C].Proc.of 2004 IEEE Int.Joint Conf.on Neural Networks,Piscataway,NJ:IEEE Press,2004:2035-2040.
8PAI P F,HONG W H.Support vector machines with simulated annnealing algorithms in electricity load forecasting[J].Energy Conversion and Management,2005,46(17):2669-2688.
9STORN R,PRICE K.Differential evolution-a simple and efficient heuristic for global optimization over continuous paces[J].Journal of Global Optimization,1997,11(4):341-359.
10Smith J S. The local mean decomposition and its applica- tion to EEG perception data[J]. Journal of the Royal So- ciety Inter Face, 2005, 2 (5) : 443-454.
