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» Evolutionary Optimization of RBF Networks
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GECCO
2007
Springer
181views Optimization» more  GECCO 2007»
14 years 13 days ago
A study on metamodeling techniques, ensembles, and multi-surrogates in evolutionary computation
Surrogate-Assisted Memetic Algorithm(SAMA) is a hybrid evolutionary algorithm, particularly a memetic algorithm that employs surrogate models in the optimization search. Since mos...
Dudy Lim, Yew-Soon Ong, Yaochu Jin, Bernhard Sendh...
IJON
2008
133views more  IJON 2008»
13 years 4 months ago
A multi-objective approach to RBF network learning
The problem of inductive supervised learning is discussed in this paper within the context of multi-objective (MOBJ) optimization. The smoothness-based apparent (effective) comple...
Illya Kokshenev, Antônio de Pádua Bra...
NCI
2004
188views Neural Networks» more  NCI 2004»
13 years 7 months ago
Training set optimization in 3D human face recognition by RBF neural networks
In the Neural Networks approach by Radial Basis Function - RBF, the property of interpolation between faces, their variation, and the diversity of faces helps to minimize the outp...
Antonio C. Zimmermann, L. S. Encinas, L. O. Marin,...
AE
2005
Springer
13 years 11 months ago
Simultaneous Optimization of Weights and Structure of an RBF Neural Network
Virginie Lefort, Carole Knibbe, Guillaume Beslon, ...
ICAISC
2004
Springer
13 years 11 months ago
Optimization of Centers' Positions for RBF Nets with Generalized Kernels
The problem of locating centers for radial basis functions in neural networks is discussed. The proposed approach allows us to apply the results from the theory of optimum experime...
Ewaryst Rafajlowicz, Miroslaw Pawlak