Fuzzy evolving linear regression trees
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[1] Nikola Kasabov,et al. Evolving Intelligent Systems: Methods, Learning, & Applications , 2006, 2006 International Symposium on Evolving Fuzzy Systems.
[2] L. Rabiner,et al. The acoustics, speech, and signal processing society - A historical perspective , 1984, IEEE ASSP Magazine.
[3] Cezary Z. Janikow,et al. Fuzzy decision trees: issues and methods , 1998, IEEE Trans. Syst. Man Cybern. Part B.
[4] João Gama,et al. Learning Model Trees from Data Streams , 2008, Discovery Science.
[5] José de Jesús Rubio,et al. SOFMLS: Online Self-Organizing Fuzzy Modified Least-Squares Network , 2009, IEEE Transactions on Fuzzy Systems.
[6] F. Diebold,et al. Comparing Predictive Accuracy , 1994, Business Cycles.
[7] Xiao-Jun Zeng,et al. A structure evolving learning method for fuzzy systems , 2010, Evol. Syst..
[8] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[9] Peter C. Young,et al. Recursive Estimation and Time-Series Analysis: An Introduction , 1984 .
[10] Ebrahim H. Mamdani,et al. An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..
[11] David G. Stork,et al. Pattern Classification (2nd ed.) , 1999 .
[12] Plamen Angelov,et al. Algorithms for Real-Time Clustering and Generation of Rules from Data , 2007 .
[13] João Gama,et al. Regression Trees from Data Streams with Drift Detection , 2009, Discovery Science.
[14] Duncan Potts,et al. Incremental learning of linear model trees , 2004, ICML.
[15] Witold Pedrycz,et al. Fuzzy Systems Engineering , 2007 .
[16] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1972 .
[17] Witold Pedrycz,et al. Fuzzy Systems Engineering - Toward Human-Centric Computing , 2007 .
[18] Witold Pedrycz,et al. Advances in Fuzzy Clustering and its Applications , 2007 .
[19] Stephen L. Chiu,et al. Fuzzy Model Identification Based on Cluster Estimation , 1994, J. Intell. Fuzzy Syst..
[20] Nikola Kasabov,et al. Foundations Of Neural Networks, Fuzzy Systems, And Knowledge Engineering [Books in Brief] , 1996, IEEE Transactions on Neural Networks.
[21] Jerry M. Mendel,et al. Generating fuzzy rules by learning from examples , 1992, IEEE Trans. Syst. Man Cybern..
[22] Claude Sammut,et al. Incremental Learning of Linear Model Trees , 2004, Machine Learning.
[23] P. Angelov,et al. Evolving Fuzzy Systems from Data Streams in Real-Time , 2006, 2006 International Symposium on Evolving Fuzzy Systems.
[24] Chin-Teng Lin,et al. An online self-constructing neural fuzzy inference network and its applications , 1998, IEEE Trans. Fuzzy Syst..
[25] Johannes Gehrke,et al. SECRET: a scalable linear regression tree algorithm , 2002, KDD.
[26] Nikola K. Kasabov,et al. DENFIS: dynamic evolving neural-fuzzy inference system and its application for time-series prediction , 2002, IEEE Trans. Fuzzy Syst..
[27] Leo Breiman,et al. Classification and Regression Trees , 1984 .
[28] Edwin Lughofer,et al. FLEXFIS: A Robust Incremental Learning Approach for Evolving Takagi–Sugeno Fuzzy Models , 2008, IEEE Transactions on Fuzzy Systems.
[29] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[30] Amaury Lendasse,et al. Evolving fuzzy optimally pruned extreme learning machine for regression problems , 2010, Evol. Syst..
[31] M. Shaw,et al. Induction of fuzzy decision trees , 1995 .
[32] Rupert G. Miller. Simultaneous Statistical Inference , 1966 .
[33] R. Gray,et al. Vector quantization , 1984, IEEE ASSP Magazine.
[34] Douglas C. Montgomery,et al. Introduction to Statistical Quality Control , 1986 .
[35] Saifur Rahman,et al. A generalized knowledge-based short-term load-forecasting technique , 1993 .
[36] Luís Torgo,et al. Functional Models for Regression Tree Leaves , 1997, ICML.
[37] Lennart Ljung,et al. System Identification: Theory for the User , 1987 .
[38] D.P. Filev,et al. An approach to online identification of Takagi-Sugeno fuzzy models , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[39] Plamen Angelov,et al. A genetic-algorithm-based approach to optimization of bioprocesses described by fuzzy rules , 1997 .
[40] David G. Stork,et al. Pattern Classification , 1973 .
[41] R. Yager,et al. Approximate Clustering Via the Mountain Method , 1994, IEEE Trans. Syst. Man Cybern. Syst..
[42] Gwilym M. Jenkins,et al. Time series analysis, forecasting and control , 1971 .
[43] Plamen P. Angelov,et al. Simpl_eTS: a simplified method for learning evolving Takagi-Sugeno fuzzy models , 2005, The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05..
[44] O. Nelles. Nonlinear System Identification , 2001 .
[45] Plamen P. Angelov,et al. Guest Editorial Evolving Fuzzy Systems–-Preface to the Special Section , 2008, IEEE Transactions on Fuzzy Systems.
[46] E. Mizutani,et al. Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.
[47] Robert Babuska,et al. Fuzzy Modeling for Control , 1998 .
[48] Edwin Lughofer,et al. Extensions of vector quantization for incremental clustering , 2008, Pattern Recognit..