98 search results - page 8 / 20 » Training Recurrent Networks by Evolino |
109
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ICARCV
2008
IEEE
15 years 6 months ago
2008
IEEE
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
NC
1998
15 years 1 months ago
1998
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
ISNN
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
101
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ACSC
2008
IEEE
15 years 1 months ago
2008
IEEE
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
106
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ICANN
2009
Springer
15 years 4 months ago
2009
Springer
Learning to solve small instances of a problem should help in solving large instances. Unfortunately, most neural network architectures do not exhibit this form of scalability. Our...