Assessing the Noise Immunity and Generalization of Radial Basis Function Networks
Neural Processing Letters
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Multiobjective genetic rule selection as a data mining postprocessing procedure
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Output value-based initialization for radial basis function neural networks
Neural Processing Letters
Generalized multiscale radial basis function networks
Neural Networks
Evolving neural networks for fractured domains
Proceedings of the 10th annual conference on Genetic and evolutionary computation
A First Approach to Birth Weight Prediction Using RBFNNs
IWINAC '07 Proceedings of the 2nd international work-conference on The Interplay Between Natural and Artificial Computation, Part I: Bio-inspired Modeling of Cognitive Tasks
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Detection Classifier
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
Technical data mining with evolutionary radial basis function classifiers
Applied Soft Computing
An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Web Text Classifier
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Global and Local Modelling in Radial Basis Functions Networks
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Construction of tunable radial basis function networks using orthogonal forward selection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Circuits and Systems Part I: Regular Papers
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An improved particle swarm optimization algorithm for radial basis function neural network
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Proceedings of the International Conference and Workshop on Emerging Trends in Technology
Applications of multi-objective structure optimization
Neurocomputing
Applying multiobjective RBFNNs optimization and feature selection to a mineral reduction problem
Expert Systems with Applications: An International Journal
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Nonlinear system identification using two-dimensional wavelet-based state-dependent parameter models
International Journal of Systems Science
A fast multi-output RBF neural network construction method
Neurocomputing
International Journal of Bio-Inspired Computation
Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis
Neural Processing Letters
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
IEEE Transactions on Neural Networks
Genetically evolved radial basis function network based prediction of drill flank wear
Engineering Applications of Artificial Intelligence
Clustered-Hybrid Multilayer Perceptron network for pattern recognition application
Applied Soft Computing
Particle swarm optimization aided orthogonal forward regression for unified data modeling
IEEE Transactions on Evolutionary Computation
A neural network of smooth hinge functions
IEEE Transactions on Neural Networks
Sparse RBF Networks with Multi-kernels
Neural Processing Letters
Frontiers of Computer Science in China
Construction cosine radial basic function neural networks based on artificial immune networks
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II
Combining in situ flow cytometry and artificial neural networks for aquatic systems monitoring
Expert Systems with Applications: An International Journal
Intelligent data analysis and model interpretation with spectral analysis fuzzy symbolic modeling
International Journal of Approximate Reasoning
Multiobjective RBFNNs designer for function approximation: an application for mineral reduction
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
Multi-objective hybrid evolutionary algorithms for radial basis function neural network design
Knowledge-Based Systems
Pareto-optimal noise and approximation properties of RBF networks
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
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
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Robust Neuroevolutionary Identification of Nonlinear Nonstationary Objects
Cybernetics and Systems Analysis
Hi-index | 0.01 |
This paper presents a multiobjective evolutionary algorithm to optimize radial basis function neural networks (RBFNNs) in order to approach target functions from a set of input-output pairs. The procedure allows the application of heuristics to improve the solution of the problem at hand by including some new genetic operators in the evolutionary process. These new operators are based on two well-known matrix transformations: singular value decomposition (SVD) and orthogonal least squares (OLS), which have been used to define new mutation operators that produce local or global modifications in the radial basis functions (RBFs) of the networks (the individuals in the population in the evolutionary procedure). After analyzing the efficiency of the different operators, we have shown that the global mutation operators yield an improved procedure to adjust the parameters of the RBFNNs.