1958 search results - page 76 / 392 » The Emergent neural modeling system |
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
ICANN
2009
Springer
15 years 2 months ago
2009
Springer
Recurrent neural networks serve as black-box models for nonlinear dynamical systems identification and time series prediction. Training of recurrent networks typically minimizes t...
ISTCS
1993
Springer
15 years 1 months ago
1993
Springer
We pursue a particular approach to analog computation, based on dynamical systems of the type used in neural networks research. Our systems have a xed structure, invariant in time...
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JMLR
2012
13 years 8 days ago
2012
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
ETFA
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper presents a novel colored Petri net model for the simulation of fully-switched Ethernet based networked control systems (NCS). The model of the NCS is built from models ...