Using Fuzzy Clustering Technique for Function Approximation to Approximate ECG Signals
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Ignacio Rojas | Alberto Guillén | Luis Javier Herrera | Eduardo Ros | E. Ros | I. Rojas | L. Herrera | A. Guillén
[1] José Mira,et al. Foundations and Tools for Neural Modeling , 1999, Lecture Notes in Computer Science.
[2] Allen Gersho,et al. Asymptotically optimal block quantization , 1979, IEEE Trans. Inf. Theory.
[3] Nicolaos B. Karayiannis,et al. Growing radial basis neural networks: merging supervised and unsupervised learning with network growth techniques , 1997, IEEE Trans. Neural Networks.
[4] Qiuming Zhu,et al. A global learning algorithm for a RBF network , 1999, Neural Networks.
[5] F. J. Fernández,et al. ECG Characterization of paroxysmal atrial fibrillation: parameter extraction and automatic diagnosis algorithm , 2004, Comput. Biol. Medicine.
[6] Richard O. Duda,et al. Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.
[7] Giuseppe Patanè,et al. Improving the LBG Algorithm , 1999, IWANN.
[8] Ignacio Rojas,et al. A New Clustering Technique for Function Approximation , 2005 .
[9] John A. Hartigan,et al. Clustering Algorithms , 1975 .
[10] Ignacio Rojas,et al. Analysis of the operators involved in the definition of the implication functions and in the fuzzy inference process , 1998, Int. J. Approx. Reason..
[11] Peter Kastner,et al. An automatic ECG processing algorithm to identify patients prone to paroxysmal atrial fibrillation , 2001, Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287).
[12] P. de Chazal,et al. Automated assessment of atrial fibrillation , 2001, Computers in Cardiology 2001. Vol.28 (Cat. No.01CH37287).
[13] Jooyoung Park,et al. Universal Approximation Using Radial-Basis-Function Networks , 1991, Neural Computation.
[14] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.