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» A theoretical framework for multiple neural network systems
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IJCNN
2000
IEEE
14 years 12 min ago
Predictive Multiple Model Switching Control with the Self-Organizing Map
—A predictive, multiple model control strategy is developed by extension of self-organizing map (SOM) local dynamic modeling of nonlinear autonomous systems to a control framewor...
Mark A. Motter
ICANN
1997
Springer
13 years 11 months ago
Spatio-Temporal Pattern Recognition with Neural Networks: Application to Speech
The processing or the recognition of non stationary process with neural networks is a challenging and yet unsolved issue. The paper discuss the general pattern recognition framewor...
Jean Rouat
GECCO
2005
Springer
204views Optimization» more  GECCO 2005»
14 years 1 months ago
Modeling systems with internal state using evolino
Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework...
Daan Wierstra, Faustino J. Gomez, Jürgen Schm...
ECIS
2000
13 years 9 months ago
Perspectives on Knowledge Management Systems - Theoretical Framework and Design of an Empirical Study
Abstract- This paper deals with "Knowledge Management Systems" (KMS) which are seen as a new kind of information systems supporting organizational information processing....
Ronald Maier, Franz Lehner
JSAC
2008
139views more  JSAC 2008»
13 years 7 months ago
A Game-Theoretic Framework for Medium Access Control
In this paper, we generalize the random access game model, and show that it provides a general game-theoretic framework for designing contention based medium access control. We ext...
Tao Cui, Lijun Chen, Steven H. Low