A resource-allocating network for function interpolation
Neural Computation
Training with noise is equivalent to Tikhonov regularization
Neural Computation
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
An efficient MDL-based construction of RBF networks
Neural Networks
Evolving Multilayer Perceptrons
Neural Processing Letters
Time-series forecasting using GA-tuned radial basis functions
Information Sciences—Informatics and Computer Science: An International Journal - Special issue on evolutionary algorithms
Three learning phases for radial-basis-function networks
Neural Networks
Numerical Recipes in C: The Art of Scientific Computing
Numerical Recipes in C: The Art of Scientific Computing
Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
GANNet: A Genetic Algorithm for Optimizing Topology and Weights in Neural Network Design
IWANN '93 Proceedings of the International Workshop on Artificial Neural Networks: New Trends in Neural Computation
Evolving Objects: A General Purpose Evolutionary Computation Library
Selected Papers from the 5th European Conference on Artificial Evolution
Optimising the Widths of Radial Basis Functions
SBRN '98 Proceedings of the Vth Brazilian Symposium on Neural Networks
Regularization in the selection of radial basis function centers
Neural Computation
IEEE Transactions on Neural Networks
A neural network ensemble method with jittered training data for time series forecasting
Information Sciences: an International Journal
Information Sciences: an International Journal
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
Automatic Neural Net Design by Means of a Symbiotic Co-evolutionary Algorithm
HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Integrated Computer-Aided Engineering
Application of evolutionary algorithms in detection of SIP based flooding attacks
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
On detecting nonlinear patterns in discriminant problems
Information Sciences: an International Journal
A comparison of neural network methods and Box-Jenkins model in time series analysis
ACST '08 Proceedings of the Fourth IASTED International Conference on Advances in Computer Science and Technology
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
Information Sciences: an International Journal
An evolution of geometric structures algorithm for the automatic classification of HRR radar targets
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling
Information Sciences: an International Journal
Analysis of an evolutionary RBFN design algorithm, CO2RBFN, for imbalanced data sets
Pattern Recognition Letters
Designing RBFNNs using prototype selection
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
Bayesian radial basis function neural network
IDEAL'05 Proceedings of the 6th international conference on Intelligent Data Engineering and Automated Learning
A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach
Fuzzy Sets and Systems
A global-local optimization approach to parameter estimation of RBF-type models
Information Sciences: an International Journal
Financial time series forecasting with a bio-inspired fuzzy model
Expert Systems with Applications: An International Journal
Short-term wind speed forecasting based on a hybrid model
Applied Soft Computing
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This paper is focused on determining the parameters of radial basis function neural networks (number of neurons, and their respective centers and radii) automatically. While this task is often done by hand, or based in hillclimbing methods which are highly dependent on initial values, in this work, evolutionary algorithms are used to automatically build a radial basis function neural networks (RBF NN) that solves a specified problem, in this case related to currency exchange rates forecasting. The evolutionary algorithm EvRBF has been implemented using the evolutionary computation framework evolving object, which allows direct evolution of problem solutions. Thus no internal representation is needed, and specific solution domain knowledge can be used to construct specific evolutionary operators, as well as cost or fitness functions. Results obtained are compared with existent bibliography, showing an improvement over the published methods.