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Prediction of Time Series Using RBF Neural Networks: A New Approach of Clustering.

, , , , and . Int. Arab J. Inf. Technol., 6 (2): 138-143 (2009)

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An enhanced clustering function approximation technique for a radial basis function neural network., , , and . Mathematical and Computer Modelling, 55 (3-4): 286-302 (2012)Multigrid-based fuzzy systems for time series prediction: CATS competition., , , , , , and . Neurocomputing, 70 (13-15): 2410-2425 (2007)MultiGrid-Based Fuzzy Systems for Time Series: Forecasting: Overcoming the curse of dimensionality., , , , , and . ESANN, page 127-132. (2004)Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach., , , , , and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 289-296. Springer, (2005)Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models., , , , , and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 399-406. Springer, (2005)Input Variable Selection in Hierarchical RBF Networks., , , , and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 280-288. Springer, (2005)Forecasting of chaotic time series using RBF neural networks optimized by genetic algorithms.. Int. Arab J. Inf. Technol., 14 (6): 826-834 (2017)Analysis of the TaSe-II TSK-Type Fuzzy System for Function Approximation., , , , , and . ECSQARU, volume 3571 of Lecture Notes in Computer Science, page 613-624. Springer, (2005)Using weighted Support Vector Machine to address the imbalanced classes problem of Intrusion Detection System., and . TIIS, 12 (10): 5143-5158 (2018)Input Variable Selection Using Parallel Processing of RBF Neural Networks.. Int. Arab J. Inf. Technol., 7 (1): 6-13 (2010)