Study of Railway Track Irregularity Standard Deviation Time Series Based on Data Mining and Linear Model
暂无分享,去创建一个
Jia Chaolong | Wang Hanning | Wei Lili | Xu Weixiang | Xu Weixiang | Wei Lili | W. Hanning | Jia Chaolong
[1] J. Geweke,et al. Bayesian Forecasting , 2004 .
[2] Gilbert T. Walker,et al. On Periodicity in Series of Related Terms , 1931 .
[3] L. Rabiner,et al. An introduction to hidden Markov models , 1986, IEEE ASSP Magazine.
[4] Paramasivan Saratchandran,et al. Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction , 2006, Fuzzy Sets Syst..
[5] Kyoungdoug Min,et al. Detection of combustion start in the controlled auto ignition engine by wavelet transform of the engine block vibration signal , 2008 .
[6] G. U. Yule,et al. The Foundations of Econometric Analysis: On a Method of Investigating Periodicities in Disturbed Series, with Special Reference to Wolfer's Sunspot Numbers ( Philosophical Transactions of the Royal Society of London , A, vol. 226, 1927, pp. 267–73) , 1995 .
[7] Kin Keung Lai,et al. A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates , 2005, Comput. Oper. Res..
[8] E. J. Hannan,et al. Multiple time series , 1970 .
[9] Shyi-Ming Chen,et al. Forecasting enrollments using high‐order fuzzy time series and genetic algorithms , 2006, Int. J. Intell. Syst..
[10] Futian Wang,et al. A Cloud-Computing-Based Data Placement Strategy in High-Speed Railway , 2012 .
[11] HighWire Press. Philosophical Transactions of the Royal Society of London , 1781, The London Medical Journal.
[12] Indar Sugiarto,et al. Parameter Estimation using Least Square Method for MIMO Takagi-Sugeno Neuro-Fuzzy in Time Series Forecasting , 2007 .
[13] Siem Jan Koopman,et al. Time Series Analysis by State Space Methods , 2001 .
[14] Michele Marchesi,et al. A hybrid genetic-neural architecture for stock indexes forecasting , 2005, Inf. Sci..
[15] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[16] Ping-Feng Pai,et al. A hybrid ARIMA and support vector machines model in stock price forecasting , 2005 .
[17] Rubiyah Yusof,et al. Offline cursive handwriting recognition system based on hybrid Markov model and neural networks , 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).
[18] Mohammad Teshnehlab,et al. Using adaptive neuro-fuzzy inference system for hydrological time series prediction , 2008, Appl. Soft Comput..
[19] Jiwen Dong,et al. Time-series forecasting using flexible neural tree model , 2005, Inf. Sci..
[20] Oscar Castillo,et al. Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory , 2002, IEEE Trans. Neural Networks.
[21] R. E. Kalman,et al. New Results in Linear Filtering and Prediction Theory , 1961 .
[22] J. Keith Ord,et al. Automatic neural network modeling for univariate time series , 2000 .
[23] Ping-Teng Chang,et al. Fuzzy linear regression with spreads unrestricted in sign , 1994 .
[24] Francesco Giordano,et al. Forecasting nonlinear time series with neural network sieve bootstrap , 2007, Comput. Stat. Data Anal..
[25] Carlo Cattani,et al. Harmonic wavelet method towards solution of the Fredholm type integral equations of the second kind , 2010, Appl. Math. Comput..
[26] Satish Kumar,et al. Subsethood-product fuzzy neural inference system (SuPFuNIS) , 2002, IEEE Trans. Neural Networks.
[27] Mehdi Shahbazian,et al. Nonlinear dynamic system control using wavelet neural network based on sampling theory , 2009, 2009 IEEE International Conference on Systems, Man and Cybernetics.
[28] G. W. Hughes,et al. Minimum Prediction Residual Principle Applied to Speech Recognition , 1975 .
[29] T. Başar,et al. A New Approach to Linear Filtering and Prediction Problems , 2001 .
[30] Kyung-shik Shin,et al. A hybrid approach based on neural networks and genetic algorithms for detecting temporal patterns in stock markets , 2007, Appl. Soft Comput..
[31] Jia Chaolong,et al. Track Irregularity Time Series Analysis and Trend Forecasting , 2012 .
[32] S. V. Narasimhan,et al. Discrete cosine harmonic wavelet transform and its application to signal compression and subband spectral estimation using modified group delay , 2009, Signal Image Video Process..
[33] Roman Krzysztofowicz,et al. A Bayesian Markov Model of the flood forecast process , 1983 .
[34] Katsushi Ikeuchi,et al. Driver's various information process and multi-ruled decision-making mechanism: a fundamental of intelligent driving shaping model , 2011, Int. J. Comput. Intell. Syst..
[35] D. J. Farlie,et al. Prediction and Regulation by Linear Least-Square Methods , 1964 .
[36] Eamonn J. Keogh,et al. Exact indexing of dynamic time warping , 2002, Knowledge and Information Systems.
[37] Hasan A. Yousef,et al. Wavelet network-based motion control of DC motors , 2010, Expert Syst. Appl..
[38] Nikolaos Kazantzis,et al. Control-Relevant Discretization of Nonlinear Systems With Time-Delay Using Taylor-Lie Series , 2005 .
[39] Aaron E. Rosenberg,et al. Performance tradeoffs in dynamic time warping algorithms for isolated word recognition , 1980 .
[40] Ratnadip Adhikari,et al. Forecasting strong seasonal time series with artificial neural networks , 2012 .
[41] Christos Faloutsos,et al. Efficient Similarity Search In Sequence Databases , 1993, FODO.
[42] Chang-Hua Hu,et al. An effective hybrid approach based on grey and ARMA for forecasting gyro drift , 2008 .
[43] Hongwei Guo,et al. Reliability Analysis of Pedestrian Safety Crossing in Urban Traffic Environment , 2012 .
[44] Gerik Scheuermann,et al. Visual Exploration of Climate Variability Changes Using Wavelet Analysis , 2009, IEEE Transactions on Visualization and Computer Graphics.