1359 search results - page 76 / 272 » Neural Dynamics with Stochasticity |
141
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ESANN
2003
15 years 7 months ago
2003
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
148
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NIPS
1994
15 years 7 months ago
1994
To appear in: G. Tesauro, D. S. Touretzky and T. K. Leen, eds., Advances in Neural Information Processing Systems 7, MIT Press, Cambridge MA, 1995. A straightforward approach to t...
148
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ICRA
2006
IEEE
16 years 5 days ago
2006
IEEE
This paper proposes the utilization of hybrid models of supervised neural networks for the modelling of dynamic systems. Particularly, as an example of a system, a autonomous helic...
137
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CIMCA
2005
IEEE
15 years 11 months ago
2005
IEEE
An efficient training method for block-diagonal recurrent neural networks is proposed. The method modifies the RPROP algorithm, originally developed for static models, in order to...
177
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ESANN
2006
15 years 7 months ago
2006
Neural gas (NG) constitutes a very robust clustering algorithm which can be derived as stochastic gradient descent from a cost function closely connected to the quantization error...