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» Evolving RBF Neural Networks
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ISNN
2007
Springer
14 years 1 months ago
Neural-Based Separating Method for Nonlinear Mixtures
A neural-based method for source separation in nonlinear mixture is proposed in this paper. A cost function, which consists of the mutual information and partial moments of the out...
Ying Tan
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...
IJCNN
2006
IEEE
14 years 1 months ago
Co-training using RBF Nets and Different Feature Splits
—In this paper we propose a new graph-based feature splitting algorithm maxInd, which creates a balanced split maximizing the independence between the two feature sets. We study ...
Felix Feger, Irena Koprinska
ICAISC
2004
Springer
14 years 12 days ago
Visualization of Hidden Node Activity in Neural Networks: I. Visualization Methods
Abstract. Quality of neural network mappings may be evaluated by visual inspection of hidden and output node activities for the training dataset. This paper discusses how to visual...
Wlodzislaw Duch
ISCI
2002
120views more  ISCI 2002»
13 years 6 months ago
A class of instantaneously trained neural networks
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
Subhash C. Kak