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ESANN
2007
13 years 9 months ago
Controlling complexity of RBF networks by similarity
Abstract. Using radial basis function networks for function approximation tasks suffers from unavailable knowledge about an adequate network size. In this work, a measuring techni...
Ulrich Rückert, Ralf Eickhoff
GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
14 years 1 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
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
IJCNN
2008
IEEE
14 years 1 months ago
A comparison of architectural varieties in Radial Basis Function Neural Networks
— 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...
Mehmet Önder Efe, Cosku Kasnakoglu
ICMCS
2005
IEEE
184views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Fuzzy relevance feedback in content-based image retrieval systems using radial basis function network
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision. An efficient learning appro...
Kim-Hui Yap, Kui Wu