Time Series Seasonal Analysis Based on Fuzzy Transforms
暂无分享,去创建一个
[1] Salvatore Sessa,et al. Fuzzy transforms method and attribute dependency in data analysis , 2010, Inf. Sci..
[2] Václav Snásel,et al. Medical Image Retrieval Using Vector Quantization and Fuzzy S-tree , 2016, Journal of Medical Systems.
[3] Guoqiang Peter Zhang,et al. Neural network forecasting for seasonal and trend time series , 2005, Eur. J. Oper. Res..
[4] Haidar Samet,et al. A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting , 2014, Expert Syst. Appl..
[5] Charles Wafula,et al. SEASONAL TIME SERIES FORECASTING: A COMPARATIVE STUDY OF ARIMA AND ANN MODELS , 2006 .
[6] László T. Kóczy,et al. Signatures: Definitions, operators and applications to fuzzy modelling , 2012, Fuzzy Sets Syst..
[7] Coskun Hamzaçebi,et al. Improving artificial neural networks' performance in seasonal time series forecasting , 2008, Inf. Sci..
[8] George Athanasopoulos,et al. Forecasting: principles and practice , 2013 .
[9] Ratnadip Adhikari,et al. Time Series Forecasting Using Hybrid ARIMA and ANN Models Based on DWT Decomposition , 2015 .
[10] Martin Stepnicka,et al. Forecasting seasonal time series with computational intelligence: On recent methods and the potential of their combinations , 2013, Expert Syst. Appl..
[11] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[12] Mohamed Mohandes,et al. Support vector machines for wind speed prediction , 2004 .
[13] Dharmender Kumar,et al. A Hybrid Clustering Method Based on Improved Artificial Bee Colony and Fuzzy C-Means Algorithm , 2017 .
[14] Irina Perfilieva,et al. Fuzzy transforms: Theory and applications , 2006, Fuzzy Sets Syst..
[15] Vilém Novák,et al. F-transform and Fuzzy Natural logic in Time Series Analysis , 2013, EUSFLAT Conf..
[16] Michael Y. Hu,et al. Forecasting with artificial neural networks: The state of the art , 1997 .
[17] M. A. Wincek. Forecasting With Dynamic Regression Models , 1993 .
[18] Guoqiang Peter Zhang,et al. Time series forecasting using a hybrid ARIMA and neural network model , 2003, Neurocomputing.
[19] Wei-Zhen Lu,et al. Potential assessment of the "support vector machine" method in forecasting ambient air pollutant trends. , 2005, Chemosphere.
[20] S. Kolassa,et al. Advantages of the MAD/Mean ratio over the MAPE , 2007 .
[21] Salvatore Sessa,et al. Fuzzy transforms method in prediction data analysis , 2011, Fuzzy Sets Syst..
[22] Ping-Feng Pai,et al. Potential assessment of the support vector regression technique in rainfall forecasting , 2007 .
[23] Jerry M. Mendel,et al. Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..
[24] J. Faraway,et al. Time series forecasting with neural networks: a comparative study using the air line data , 2008 .
[25] Salvatore Sessa,et al. An image coding/decoding method based on direct and inverse fuzzy transforms , 2008, Int. J. Approx. Reason..
[26] Chris Chatfield,et al. Time series forecasting with neural networks: a comparative study using the air line data , 2008 .
[27] Robert L. Goodrich,et al. The Forecast Pro methodology , 2000 .
[28] Craig B. Borkowf,et al. Time-Series Forecasting , 2002, Technometrics.
[29] Sven F. Crone,et al. Advances in forecasting with neural networks? Empirical evidence from the NN3 competition on time series prediction , 2011 .
[30] Steven C. Wheelwright,et al. Forecasting: Methods and Applications, 3rd Ed , 1997 .
[31] Gunnar Rätsch,et al. Predicting Time Series with Support Vector Machines , 1997, ICANN.
[32] Ping-Feng Pai,et al. Time series forecasting by a seasonal support vector regression model , 2010, Expert Syst. Appl..
[33] J. G. Bryan,et al. STATISTICAL METHODS IN FORECASTING , 1962 .
[34] Jesús Medina,et al. Multi-adjoint t-concept lattices , 2010, Inf. Sci..
[35] Peter T. Ittig. A Seasonal Index for Business , 1997 .
[36] Guoqiang Peter Zhang,et al. Quarterly Time-Series Forecasting With Neural Networks , 2007, IEEE Transactions on Neural Networks.