202 search results - page 1 / 41 » Learning fault-tolerance in Radial Basis Function Networks |
ESANN
2001
13 years 8 months ago
2001
This paper describes a method of supervised learning based on forward selection branching. This method improves fault tolerance by means of combining information related to general...
IJON
2011
12 years 10 months ago
2011
We introduce a machine learning based classifier that identifies free radio channels for cognitive radio. The architecture is designed for nanoscale implementation, under nanosc...
ESANN
2003
13 years 8 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...
ICONIP
2008
13 years 8 months ago
2008
Abstract. While injecting weight noise during training has been proposed for more than a decade to improve the convergence, generalization and fault tolerance of a neural network, ...
NIPS
1996
13 years 8 months ago
1996
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...