Combinatorial time series forecasting based on clustering algorithms and neural networks
暂无分享,去创建一个
[1] A. Geva. Non-stationary time-series prediction using fuzzy clustering , 1999, 18th International Conference of the North American Fuzzy Information Processing Society - NAFIPS (Cat. No.99TH8397).
[2] Kenneth Rogoff,et al. Empirical exchange rate models of the seventies , 1983 .
[3] Kyong Joo Oh,et al. An intelligent clustering forecasting system based on change-point detection and artificial neural networks: application to financial economics , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.
[4] R. Clemen. Combining forecasts: A review and annotated bibliography , 1989 .
[5] Efstratios F. Georgopoulos,et al. Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks , 1998 .
[6] Shang-Liang Chen,et al. Orthogonal least squares learning algorithm for radial basis function networks , 1991, IEEE Trans. Neural Networks.
[7] Renate Sitte,et al. Analysis of the predictive ability of time delay neural networks applied to the S&P 500 time series , 2000, IEEE Trans. Syst. Man Cybern. Part C.
[8] Jonathan H. Wright,et al. Exchange Rate Forecasting: The Errors We've Really Made , 2001 .
[9] Nigel Meade,et al. A comparison of the accuracy of short term foreign exchange forecasting methods , 2002 .
[10] Mark P. Taylor,et al. Why is it so Difficult to Beat the Random Walk Forecast of Exchange Rates? , 2001 .
[11] Athanasios Sfetsos,et al. A comparison of various forecasting techniques applied to mean hourly wind speed time series , 2000 .
[12] Dong Jingrong,et al. Research on the method of nonlinear combining forecasts based on fuzzy-neural systems , 2000, Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393).
[13] S. Chiu,et al. A cluster estimation method with extension to fuzzy model identification , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.
[14] Teuvo Kohonen,et al. Self-organization and associative memory: 3rd edition , 1989 .
[15] C. S. George Lee,et al. Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems , 1996 .
[16] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[17] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[18] A. J. Germond,et al. Application of the Kohonen network to short-term load forecasting , 1993, [1993] Proceedings of the Second International Forum on Applications of Neural Networks to Power Systems.
[19] Athanasios Sfetsos,et al. A hybrid clustering scheme for time series forecasting , 2002 .
[20] Kenneth S. Rogoff,et al. Exchange rate models of the seventies. Do they fit out of sample , 1983 .
[21] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[22] Amanda J. C. Sharkey,et al. On Combining Artificial Neural Nets , 1996, Connect. Sci..
[23] Galina L. Rogova,et al. Combining the results of several neural network classifiers , 1994, Neural Networks.
[24] Antonio Fiordaliso. Combining forecasts: a fuzzy approach , 1997 .
[25] M. Kolehmainen,et al. Neural networks and periodic components used in air quality forecasting , 2001 .
[26] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[27] Marcos Álvarez-Díaz,et al. Forecasting exchange rates using genetic algorithms , 2003 .
[28] George E. P. Box,et al. Time Series Analysis: Forecasting and Control , 1977 .
[29] J. Armstrong,et al. PRINCIPLES OF FORECASTING 1 Principles of Forecasting : A Handbook for Researchers and Practitioners , 2006 .
[30] Paul G. Harrald,et al. Evolving artificial neural networks to combine financial forecasts , 1997, IEEE Trans. Evol. Comput..
[31] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[32] Vassilis S. Kodogiannis,et al. Forecasting Financial Time Series using Neural Network and Fuzzy System-based Techniques , 2002, Neural Computing & Applications.
[33] Dobrivoje Popovic,et al. Nonlinear combination of forecasts using artificial neural network, fuzzy logic and neuro-fuzzy approaches , 2000, Ninth IEEE International Conference on Fuzzy Systems. FUZZ- IEEE 2000 (Cat. No.00CH37063).
[34] Kate Smith-Miles,et al. Cash flow forecasting using supervised and unsupervised neural networks , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.