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» Using neural networks for quality management
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129
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TNN
2010
121views Management» more  TNN 2010»
14 years 10 months ago
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
The competitive layer model (CLM) can be described by an optimization problem. The problem can be further formulated by an energy function, called the CLM energy function, in the s...
Zhang Yi
143
Voted
HCI
2009
15 years 1 months ago
Can Neurophysiologic Synchronies Provide a Platform for Adapting Team Performance?
We have explored using neurophysiologic patterns as an approach for developing a deeper understanding of how teams collaborate when solving time-critical, complex real-world proble...
Ronald H. Stevens, Trysha Galloway, Chris Berka, M...
151
Voted
WMI
2001
112views more  WMI 2001»
15 years 5 months ago
Quality of service and mobility for the wireless internet
Our paper explores the issue of how to provide appropriate quality of service mechanisms closely integrated with flexible mobility management in wireless local area networks. We co...
J. Antonio García-Macías, Franck Rou...
155
Voted
BMCBI
2010
189views more  BMCBI 2010»
15 years 3 months ago
High quality protein sequence alignment by combining structural profile prediction and profile alignment using SABERTOOTH
Background: Protein alignments are an essential tool for many bioinformatics analyses. While sequence alignments are accurate for proteins of high sequence similarity, they become...
Florian Teichert, Jonas Minning, Ugo Bastolla, Mar...
124
Voted
ESANN
2004
15 years 5 months ago
High-accuracy value-function approximation with neural networks applied to the acrobot
Several reinforcement-learning techniques have already been applied to the Acrobot control problem, using linear function approximators to estimate the value function. In this pape...
Rémi Coulom