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» Real-Time Control of a Tokamak Plasma Using Neural Networks
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TCSV
2002
132views more  TCSV 2002»
13 years 7 months ago
A study of real-time packet video quality using random neural networks
An important and unsolved problem today is the automatic quantification of the quality of video flows transmitted over packet networks. In particular, the ability to perform this ...
Samir Mohamed, Gerardo Rubino
JIRS
2008
100views more  JIRS 2008»
13 years 7 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
LREC
2008
128views Education» more  LREC 2008»
13 years 9 months ago
Emotion Recognition from Speech: Stress Experiment
The goal of this work is to introduce an architecture to automatically detect the amount of stress in the speech signal close to real time. For this an experimental setup to recor...
Stefan Scherer, Hansjörg Hofmann, Malte Lampm...
ICTAI
2008
IEEE
14 years 2 months ago
The Performance of Approximating Ordinary Differential Equations by Neural Nets
—The dynamics of many systems are described by ordinary differential equations (ODE). Solving ODEs with standard methods (i.e. numerical integration) needs a high amount of compu...
Josef Fojdl, Rüdiger W. Brause
AROBOTS
2010
180views more  AROBOTS 2010»
13 years 7 months ago
Reactive direction control for a mobile robot: a locust-like control of escape direction emerges when a bilateral pair of model
Locusts possess a bilateral pair of uniquely identifiable visual neurons that respond vigorously to the image of an approaching object. These neurons are called the lobula giant m...
Shigang Yue, Roger D. Santer, Yoshifumi Yamawaki, ...