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IJON
1998
107views more  IJON 1998»
13 years 9 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...
IJCNN
2006
IEEE
14 years 3 months ago
A Comparison between Recursive Neural Networks and Graph Neural Networks
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
Vincenzo Di Massa, Gabriele Monfardini, Lorenzo Sa...
IJAR
2006
133views more  IJAR 2006»
13 years 9 months ago
Extraction of similarity based fuzzy rules from artificial neural networks
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
Carlos Javier Mantas, José Manuel Puche, J....
NPL
1998
175views more  NPL 1998»
13 years 9 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas
BROADNETS
2006
IEEE
14 years 1 months ago
SMART: An Optical Infrastructure for Future Internet
A new scalable optical network infrastructure SMART is proposed based on light-trails and hypernetwork architecture. The underlying physical network of SMART is a reconfigurable WD...
Si-Qing Zheng, Ashwin Gumaste