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» Learning fault-tolerance in Radial Basis Function Networks
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ICPR
2002
IEEE
14 years 8 months ago
Face Detection Using a Modified Radial Basis Function Neural Network
Face detection from cluttered images is very challenging due to the diverse variation of face appearance and the complexity of image background. In this paper, we propose a neural...
Lin-Lin Huang, Akinobu Shimizu, Hidefumi Kobatake
KES
2006
Springer
13 years 7 months ago
Stock Index Modeling Using Hierarchical Radial Basis Function Networks
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
Yuehui Chen, Lizhi Peng, Ajith Abraham
ICANN
2007
Springer
14 years 1 months ago
Input Selection for Radial Basis Function Networks by Constrained Optimization
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Jarkko Tikka
GLOBECOM
2009
IEEE
13 years 10 months ago
Localization Using Radial Basis Function Networks and Signal Strength Fingerprints in WLAN
Abstract—Fingerprinting localization techniques provide reliable location estimates and enable the development of location aware applications especially for indoor environments, ...
Christos Laoudias, Paul Kemppi, Christos G. Panayi...
SBRN
1998
IEEE
13 years 11 months ago
Design of Radial Basis Function Network as Classifier in Face Recognition Using Eigenfaces
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 ...
Carlos E. Thomaz, Raul Queiroz Feitosa, Alvaro Vei...