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» Using neural networks for quality management
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149
Voted
TNN
2010
171views Management» more  TNN 2010»
14 years 10 months ago
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks
This paper proposes a multiclassification algorithm using multilayer perceptron neural network models. It tries to boost two conflicting main objectives of multiclassifiers: a high...
Juan Carlos Fernández Caballero, Francisco ...
140
Voted
WOWMOM
2009
ACM
167views Multimedia» more  WOWMOM 2009»
15 years 10 months ago
Bio-inspired link quality estimation for wireless mesh networks
—In this paper, the problem of estimating the link quality in mesh networks has been considered. Such a process is a major task to develop an efficient network layer, since it a...
Marcello Caleffi, Luigi Paura
105
Voted
ICAISC
2004
Springer
15 years 9 months ago
Visualization of Hidden Node Activity in Neural Networks: II. Application to RBF Networks
Scatterograms of the images of training set vectors in the hidden space help to evaluate the quality of neural network mappings and understand internal representations created by t...
Wlodzislaw Duch
144
Voted
COMSWARE
2006
IEEE
15 years 7 months ago
VoIP service quality monitoring using active and passive probes
Service providers and enterprises all over the world are rapidly deploying Voice over IP (VoIP) networks because of reduced capital and operational expenditure, and easy creation o...
Shipra Agrawal, P. P. S. Narayan, Jeyashankher Ram...
130
Voted
CISS
2008
IEEE
15 years 10 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...