140 search results - page 5 / 28 » Wavelet Basis Function Neural Networks |
ICANN
2007
Springer
14 years 28 days ago
2007
Springer
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
ISNN
2005
Springer
14 years 8 days ago
2005
Springer
In this paper we propose a radial basis function (RBF) neural network for nonlinear time-invariant channel equalizer. The RBF network model has a three-layer structure which is com...
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
This w orkshows how to train the activation function in neuro-wavelet parametric modeling and how this improves performance in a number of modeling, classi cation and forecasting.
SBRN
1998
IEEE
13 years 11 months ago
1998
IEEE
In this paper we investigate alternative designs of a Radial Basis Function Network acting as classifier in a face recognition system. Input to the RBF network is the projections ...
KES
2006
Springer
13 years 6 months ago
2006
Springer
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...