Genetic optimization of GRNN for pattern recognition without feature extraction
Expert Systems with Applications: An International Journal
Technical data mining with evolutionary radial basis function classifiers
Applied Soft Computing
Visual RBF network design based on Star Coordinates
Advances in Engineering Software
Combining GAs and RBF neural networks for fuzzy rule extraction from numerical data
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Genetic optimizations for radial basis function and general regression neural networks
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
ABC optimized neural network model for image deblurring with its FPGA implementation
Microprocessors & Microsystems
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A novel approach for applying Genetic Algorithms tothe configuration of Radial Basis Function Networks is presented.A new crossover operator that allows for some controlover the competing conventions problem is introduced.Besides it, a minimalist initialization scheme which tends togenerate more parsimonious models is also presented. Finally,a reformulation of Generalized Cross-Validation criterionfor model selection, making it more conservative, isdiscussed. The proposed model is submitted to a computationalexperiment in order to verify its effectiveness.Keywords: Radial Basis Function Networks , GeneticAlgorithms