251 search results - page 7 / 51 » Approximation and Estimation Bounds for Artificial Neural Ne... |
IJCNN
2008
IEEE
14 years 1 months ago
2008
IEEE
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
IJCNN
2000
IEEE
13 years 12 months ago
2000
IEEE
This paper describes a novel network model, which is able to control its growth on the basis of the approximation requests. Two classes of self-tuning neural models are considered...
ICTAI
2002
IEEE
14 years 13 days ago
2002
IEEE
Wavelet neural networks (WNN) have recently attracted great interest, because of their advantages over radial basis function networks (RBFN) as they are universal approximators bu...
AMC
2008
13 years 7 months ago
2008
In this paper, a general framework for the analysis of a connection between the training of artificial neural networks via the dynamics of Markov chains and the approximation of c...
ESANN
2001
13 years 9 months ago
2001
We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...