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IJON
2002
154views more  IJON 2002»
13 years 8 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
CMOT
1999
143views more  CMOT 1999»
13 years 8 months ago
Structural Learning: Attraction and Conformity in Task-Oriented Groups
This study extends previous research that showed how informal social sanctions can backfire when members prefer friendship over enforcement of group norms. We use a type of neural...
James A. Kitts, Michael W. Macy, Andreas Flache
CISIS
2010
IEEE
13 years 7 months ago
Modeling of Stress-induced Regulatory Cascades Involving Transcription Factor Dimers
Regulatory cascades consisting of stress-induced gene modules and their transcriptional regulators were recently identified and quantitatively modeled using Artificial Neural Netwo...
Maria Manioudaki, Panayiota Poirazi
OIR
2011
226views Neural Networks» more  OIR 2011»
12 years 12 months ago
Understanding Knowledge Sharing in Virtual Communities: An Integration of Expectancy Disconfirmation and Justice Theories
This paper integrates expectancy disconfirmation theory and justice theory to construct a model for investigating the motivations behind people’s knowledge sharing in open profe...
Chao-Min Chiu, Eric T. G. Wang, Fu-Jong Shih, Yi-W...
IJCNN
2006
IEEE
14 years 3 months ago
Optimal In-Place Learning and the Lobe Component Analysis
— It is difficult to map many existing learning algorithms onto biological networks because the former require a separate learning network. The computational basis of biological...
Juyang Weng, Nan Zhang 0002