Modeling systems with internal state using evolino
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Predicting Chaotic Time Series Using Neural and Neurofuzzy Models: A Comparative Study
Neural Processing Letters
Modelling of a magneto-rheological damper by evolving radial basis function networks
Engineering Applications of Artificial Intelligence
Backward Elimination Methods for Associative Memory Network Pruning
International Journal of Hybrid Intelligent Systems
International Journal of Systems Science
Steady-state performance constraints for dynamical models based on RBF networks
Engineering Applications of Artificial Intelligence
Improving multiclass pattern recognition with a co-evolutionary RBFNN
Pattern Recognition Letters
A POD-Based Center Selection for RBF Neural Network in Time Series Prediction Problems
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks
Model selection approaches for non-linear system identification: a review
International Journal of Systems Science
Hybrid wavelet model construction using orthogonal forward selection with boosting search
International Journal of Business Intelligence and Data Mining
Expert Systems with Applications: An International Journal
Prediction of solar conditions by emotional learning
Intelligent Data Analysis
A new RBF neural network with boundary value constraints
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Construction of tunable radial basis function networks using orthogonal forward selection
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Genetic algorithms for MLP neural network parameters optimization
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
CO$^2$RBFN for short-term forecasting of the extra virgin olive oil price in the Spanish market
International Journal of Hybrid Intelligent Systems - Hybrid Fuzzy Models
Strategic planning for scientific and technological human resource based on BP neural network
ICNC'09 Proceedings of the 5th international conference on Natural computation
Dual-population based coevolutionary algorithm for designing RBFNN with feature selection
Expert Systems with Applications: An International Journal
Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis
Neural Processing Letters
Particle swarm optimization aided orthogonal forward regression for unified data modeling
IEEE Transactions on Evolutionary Computation
Grey-box radial basis function modelling
Neurocomputing
Intelligent data analysis and model interpretation with spectral analysis fuzzy symbolic modeling
International Journal of Approximate Reasoning
A forward regression algorithm based on M-estimators
CONTROL'05 Proceedings of the 2005 WSEAS international conference on Dynamical systems and control
An optimal iterative learning scheme for dynamic neural network modelling
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Orthogonal forward selection for constructing the radial basis function network with tunable nodes
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
Feedback controlled particle swarm optimization and its application in time-series prediction
Expert Systems with Applications: An International Journal
Engineering Applications of Artificial Intelligence
A novel approach for high dimension 3D object representation using Multi-Mother Wavelet Network
Multimedia Tools and Applications
Robust Neuroevolutionary Identification of Nonlinear Nonstationary Objects
Cybernetics and Systems Analysis
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Presents a two-level learning method for radial basis function (RBF) networks. A regularized orthogonal least squares (ROLS) algorithm is employed at the lower level to construct RBF networks while the two key learning parameters, the regularization parameter and the RBF width, are optimized using a genetic algorithm (GA) at the upper level. Nonlinear time series modeling and prediction is used as an example to demonstrate the effectiveness of this hierarchical learning approach