Learning in a Non-stationary Environment Using the Recursive Least Squares Method and Orthogonal-Series Type Regression Neural Network
暂无分享,去创建一个
[1] Leszek Rutkowski,et al. A new method for system modelling and pattern classification , 2004 .
[2] Janusz T. Starczewski,et al. Interval Type 2 Neuro-Fuzzy Systems Based on Interval Consequents , 2003 .
[3] Leszek Rutkowski. On Bayes Risk Consistent Pattern Recognition Procedures in a Quasi-Stationary Environment , 1982, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Rafal Scherer. Boosting Ensemble of Relational Neuro-fuzzy Systems , 2006, ICAISC.
[5] Leszek Rutkowski,et al. ORTHOGONAL SERIES ESTIMATES OF A REGRESSION FUNCTION WITH APPLICATIONS IN SYSTEM IDENTIFICATION , 1982 .
[6] Leszek Rutkowski,et al. Neural Networks and Soft Computing , 2003 .
[7] W. Greblicki,et al. An orthogonal series estimate of time-varying regression , 1983 .
[8] Jörg H. Siekmann,et al. Artificial Intelligence and Soft Computing - ICAISC 2004 , 2004, Lecture Notes in Computer Science.
[9] Leszek Rutkowski,et al. On system identification by nonparametric function fitting , 1982 .
[10] Leszek Rutkowski,et al. Identification of MISO nonlinear regressions in the presence of a wide class of disturbances , 1991, IEEE Trans. Inf. Theory.
[11] W. T. Federer,et al. Stochastic Approximation and NonLinear Regression , 2003 .
[12] L. Rutkowski,et al. A neuro-fuzzy controller with a compromise fuzzy reasoning , 2002 .
[13] Janusz T. Starczewski,et al. Connectionist Structures of Type 2 Fuzzy Inference Systems , 2001, PPAM.
[14] L. Rutkowski. Application of multiple Fourier series to identification of multivariable non-stationary systems , 1989 .
[15] Leszek Rutkowski,et al. A general approach for nonparametric fitting of functions and their derivatives with applications to linear circuits identification , 1986 .
[16] L. Rutkowski,et al. Nonparametric fitting of multivariate functions , 1986 .
[17] Leszek Rutlowski. Sequential pattern recognition procedures derived from multiple Fourier series , 1988 .
[18] L. Rutkowski. On-line identification of time-varying systems by nonparametric techniques , 1982 .
[19] L. Rutkowski. Sequential Estimates of a Regression Function by Orthogonal Series with Applications in Discrimination , 1981 .
[20] W. Greblicki,et al. Density-free Bayes risk consistency of nonparametric pattern recognition procedures , 1981, Proceedings of the IEEE.
[21] L. Rutkowski. Nonparametric identification of quasi-stationary systems , 1985 .
[22] Erwin Kreyszig,et al. Introductory Mathematical Statistics. , 1970 .
[23] Robert Nowicki. Rough Sets in the Neuro-Fuzzy Architectures Based on Monotonic Fuzzy Implications , 2004, ICAISC.
[24] P. J. Green,et al. Probability and Statistical Inference , 1978 .
[25] Donald F. Specht,et al. A general regression neural network , 1991, IEEE Trans. Neural Networks.
[26] Rene F. Swarttouw,et al. Orthogonal polynomials , 2020, NIST Handbook of Mathematical Functions.
[27] Leszek Rutkowski,et al. A general approach to neuro-fuzzy systems , 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).
[28] L. Rutkowski,et al. Nonparametric recovery of multivariate functions with applications to system identification , 1985, Proceedings of the IEEE.
[29] Krzysztof Patan,et al. Optimal training strategies for locally recurrent neural networks , 2011 .
[30] E. Rafajłowicz,et al. On optimal global rate of convergence of some nonparametric identification procedures , 1989 .
[31] L. Rutkowski. On nonparametric identification with prediction of time-varying systems , 1984 .
[32] Ryszard Tadeusiewicz,et al. Artificial Intelligence and Soft Computing - ICAISC 2006, 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings , 2006, International Conference on Artificial Intelligence and Soft Computing.
[33] Leszek Rutkowski. Nonparametric Procedures for Identification and Control of Linear Dynamic Systems , 1988 .
[34] L. Rutkowski. Real-time identification of time-varying systems by non-parametric algorithms based on Parzen kernels , 1985 .
[35] Leszek Rutkowski. Multiple Fourier series procedures for extraction of nonlinear regressions from noisy data , 1993, IEEE Trans. Signal Process..
[36] Leszek Rutkowski,et al. A fast training algorithm for neural networks , 1998 .
[37] L. Rutkowski. Non-parametric learning algorithms in time-varying environments☆ , 1989 .
[38] Robert Cierniak,et al. On image compression by competitive neural networks and optimal linear predictors , 2000, Signal Process. Image Commun..