140 search results - page 3 / 28 » Wavelet Basis Function Neural Networks |
CONIELECOMP
2006
IEEE
14 years 10 days ago
2006
IEEE
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
ESANN
2003
13 years 7 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...
IJCNN
2008
IEEE
14 years 20 days ago
2008
IEEE
— Representation of knowledge within a neural model is an active field of research involved with the development of alternative structures, training algorithms, learning modes an...
FGCN
2008
IEEE
14 years 22 days ago
2008
IEEE
When recording extracellular neural activity, it is often necessary to distinguish action potentials arising from distinct cells near the electrode tip, a process commonly referre...
APIN
2005
13 years 6 months ago
2005
Credit analysts generally assess the risk of credit applications based on their previous experience. They frequently employ quantitative methods to this end. Among the methods used...