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» Controlling complexity of RBF networks by similarity
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ESANN
2007
13 years 5 months ago
Controlling complexity of RBF networks by similarity
Abstract. Using radial basis function networks for function approximation tasks suffers from unavailable knowledge about an adequate network size. In this work, a measuring techni...
Ulrich Rückert, Ralf Eickhoff
IJON
2008
133views more  IJON 2008»
13 years 2 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...
IJCNN
2000
IEEE
13 years 8 months ago
PD Control of Robot with RBF Networks Compensation
In this paper the popular PD controller of robot manipulator is modified. RBF neural networks are used to compensate the gravity and fi-iction. No exact knowledge of the robot dyn...
Wen Yu, José Antonio Heredia
JSAC
2008
106views more  JSAC 2008»
13 years 3 months ago
Enhanced multiuser random beamforming: dealing with the not so large number of users case
We consider the downlink of a wireless system with an M-antenna base station and K single-antenna users. A limited feedback-based scheduling and precoding scenario is considered th...
Marios Kountouris, David Gesbert, Thomas Sälz...
CEC
2008
IEEE
13 years 10 months ago
Automatic model type selection with heterogeneous evolution: An application to RF circuit block modeling
— Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a cost effe...
Dirk Gorissen, Luciano De Tommasi, Jeroen Croon, T...