318 search results - page 10 / 64 » Evolving RBF Neural Networks |
GECCO
2010
Springer
14 years 21 days ago
2010
Springer
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
IWANN
2001
Springer
14 years 10 days ago
2001
Springer
Complexity-penalization strategies are one way to decide on the most appropriate network size in order to address the trade-off between overfitted and underfitted models. In this p...
WCE
2007
13 years 9 months ago
2007
—This paper presents a neural network global PID-sliding mode control method for the tracking control of robot manipulators with bounded uncertainties. A certain sliding mode con...
ESANN
2003
13 years 9 months ago
2003
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
IJON
2006
13 years 7 months ago
2006
Constructing the controller of a mobile robot has several issues to be addressed: how to automate behavior generation procedure, how to insert available domain knowledge effective...