3Chu C J. Time series segmentation:A sliding window approach[J].Information Sciences,1995,(1-3):147-173.
4Orsenigo C,Vercellis C. Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification[J].2010,(11):3787-3794.
4BOWEN R, BURGSTAHLER D, DALEY L.Evidence on the relationships between earnings and various measures of cash flow[J]. Accounting Review, 1986(61):713-725.
5VAPNIKVN 张学工译.统计学习理论的本质[M].清华大学出版社,2000..
6Suykens J A K.Nonlinear modeling and support vector machines// IEEE Instrumentation and Measurement Technology Conference.Budapest,2001:191.
7Suykens J A K,Vandewalle J.Least squares support vector machine classifiers.Neural Process Lett,1999,9(3):293.
8Muller K R A,Smola G,Ratsch B,et al.Predicting time series with support vector machines//Proceedings of ICANN '97.Berlin:Springer,1997:999.
9Maguire L P,Roche B,Mcginnity T M,et al.Predicting a chaotic time series using a fuzzy neural network.Inf Sci,1998,112:125.
10Scholkopf B,Smola A J,Müller K R.Nonlinear component analysis as a kernel eigenvalue problem.Neural Comput,1998,10:1299.
