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» Initialization by selection for wavelet network training
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IJON
2000
81views more  IJON 2000»
13 years 4 months ago
Initialization by selection for wavelet network training
We present an original initialization procedure for the parameters of feedforward wavelet networks, prior to training by gradient-based techniques. It takes advantage of wavelet f...
Yacine Oussar, Gérard Dreyfus
ICPR
2000
IEEE
13 years 9 months ago
Wavelet Filter Selection in Multispectral Image Compression
The problem of selecting an appropriate wavelet filter is always present in the wavelet based image compression. In this study, we apply neural networks to wavelet filter select...
Arto Kaarna, Jussi Parkkinen
IJON
1998
107views more  IJON 1998»
13 years 4 months ago
Training wavelet networks for nonlinear dynamic input-output modeling
In the framework of nonlinear process modeling, we propose training algorithms for feedback wavelet networks used as nonlinear dynamic models. An original initialization procedure...
Yacine Oussar, Isabelle Rivals, Léon Person...
RAS
2002
168views more  RAS 2002»
13 years 4 months ago
Neural predictive control for a car-like mobile robot
: This paper presents a new path-tracking scheme for a car-like mobile robot based on neural predictive control. A multi-layer back-propagation neural network is employed to model ...
Dongbing Gu, Huosheng Hu
JIPS
2006
72views more  JIPS 2006»
13 years 4 months ago
A Feature Selection Technique based on Distributional Differences
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
Sung-Dong Kim