International Journal of Approximate Reasoning
Output value-based initialization for radial basis function neural networks
Neural Processing Letters
Information granulation as a basis of fuzzy modeling
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hybrid learning-based neuro-fuzzy inference system: a new approach for system modeling
International Journal of Systems Science
Clustering: A neural network approach
Neural Networks
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy
Fuzzy Sets and Systems
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem
Expert Systems with Applications: An International Journal
Surface modelling with radial basis functions neural networks using virtual environments
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Software refactoring at the function level using new Adaptive K-Nearest Neighbor algorithm
Advances in Engineering Software
Local-global neuro-fuzzy system for color change modelling
International Journal of Hybrid Intelligent Systems - Advances in Intelligent Agent Systems
Linear regression model-guided clustering for training RBF networks for regression problems
WILF'03 Proceedings of the 5th international conference on Fuzzy Logic and Applications
A fuzzy-possibilistic fuzzy ruled clustering algorithm for RBFNNs design
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach
Fuzzy Sets and Systems
New technique for initialization of centres in TSK clustering-based fuzzy systems
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Using fuzzy clustering technique for function approximation to approximate ECG signals
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Input variable selection in hierarchical RBF networks
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Approximating i/o data using radial basis functions: a new clustering-based approach
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Clustering-Based TSK neuro-fuzzy model for function approximation with interpretable sub-models
IWANN'05 Proceedings of the 8th international conference on Artificial Neural Networks: computational Intelligence and Bioinspired Systems
Multiparameter Spectral Representation of Noise-Induced Competence in Bacillus Subtilis
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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To date, clustering techniques have always been oriented to solve classification and pattern recognition problems. However, some authors have applied them unchanged to construct initial models for function approximators. Nevertheless, classification and function approximation problems present quite different objectives. Therefore it is necessary to design new clustering algorithms specialized in the problem of function approximation. This paper presents a new clustering technique, specially designed for function. approximation problems, which improves the performance of the approximator system obtained, compared with other models derived from traditional classification oriented clustering algorithms and input-output clustering techniques