[1] TAKEN S F.Detecting Strange Attractors in Turbulence [J].Lecture Notes in Mathematics,1981,898:366-381.[2] ZHANG Jia-shu,LI Heng-chao,XIAO Xian-ci.ADCT Domain Quadratic Predictor for Real-Time Prediction of Continuous Chaotic Signal[J].Acta Physical Sinica,2004,53(3):710-716.[3] MAGUIRE L P,ROCHE B,MCGINNITY T M.Predicting a Chaotic Time Series Using a Fuzzy Neural Network [J].Information Sciences,1998,112:125-136.[4] SMOLA A J,SCHOELKOPF B.A Tutorial on Support Vector Regression [J].Statistics and Computing,2004(14):199-222.[5] VAPNIK V.The Nature of Statistical Learning Theory [M].New York:Springer,1995:67-74.[6] BURGES C.A Tutorial on Support Vector Machines for Pattern Recognition [J].Data Mining and Knowledge Discovery,1998,2(2):121-127.[7] FRANCIS E H TAY,CAO Li-juan.Application of Support Vector Machines in Financial Time Series Forecasting [J].The International Journal of Management Science,2001,29:309-317.[8] DUG Hun-hong,CHANG Hai-wang.Support Vector Fuzzy Regression Machines [J].Fuzzy Sets and Systems,2003,138:271-281.[9] KIM H S,EYKHOLT R,SALAS J D.Nonlinear Dynamics,Delay Times and Embedding Windows [J].Physica D,1999,127:48-60.[10] STONE M.Cross-Validatory Choice and Assessment of Statistical Predictions [J].Journalof the Royal Statistical Society B,1974,64:111-147.[11] ITO K,NAKANO R.Optimizing Support Vector Regression Hyper-Parameters Based on Cross-Validation [C].Proceedings of the International Joint Conference on Neural Networks,2003,7:2 077-2 082.[12] LU Yu,CHEN Yu-hong,HE Guo-guang.The Computing of Maximum Lyapunov Exponent in Traffic Flow Applying the Improved Small-Data Method [J].Systems Engineering-Theory & Practice,2007,1:85-90. |