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BMCBI
2006
146views more  BMCBI 2006»
13 years 9 months ago
Optimized Particle Swarm Optimization (OPSO) and its application to artificial neural network training
Background: Particle Swarm Optimization (PSO) is an established method for parameter optimization. It represents a population-based adaptive optimization technique that is influen...
Michael Meissner, Michael Schmuker, Gisbert Schnei...
ECBS
2008
IEEE
86views Hardware» more  ECBS 2008»
14 years 3 months ago
A Formal Model for Network-Wide Security Analysis
Network designers perform challenging tasks with so many configuration options that it is often hard or even impossible for a human to predict all potentially dangerous situation...
Petr Matousek, Jaroslav Ráb, Ondrej Rysavy,...
COR
2008
112views more  COR 2008»
13 years 9 months ago
Buffer allocation in general single-server queueing networks
-- The optimal buffer allocation in queueing network systems is a difficult stochastic, non-linear, integer mathematical programming problem. Moreover, the objective function, the ...
Frederico R. B. Cruz, A. R. Duarte, Tom Van Woense...
VTC
2007
IEEE
132views Communications» more  VTC 2007»
14 years 3 months ago
Collaborative Information Revelation and Collusion in "Word-of-Mouth" Access Selection Schemes
— “Word-of-Mouth”, a novel scheme for sharing the service quality experienced with different local networks, is presented and evaluated as a distributed solution for performi...
Pietro Lungaro
ESANN
2003
13 years 10 months ago
Self-organizing maps and functional networks for local dynamic modeling
The paper presents a method for times series prediction using a local dynamic modeling based on a three step process. In the first step the input data is embedded in a reconstruct...
Noelia Sánchez-Maroño, Oscar Fontenl...