5381 search results - page 269 / 1077 » Artificial neural networks |
170
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ICML
2009
IEEE
16 years 7 months ago
2009
IEEE
We propose a new neural network architecture, called Simple Recurrent Temporal-Difference Networks (SR-TDNs), that learns to predict future observations in partially observable en...
186
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IJCNN
2006
IEEE
16 years 23 days 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 ...
219
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NEUROSCIENCE
2001
Springer
15 years 11 months ago
2001
Springer
The Brain is a slow computer yet humans can skillfully play games such as tennis where very fast reactions are required. Of particular interest is the evidence for strategic thinki...
144
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NN
2007
Springer
15 years 6 months ago
2007
Springer
Building on some prior work, in this paper we describe a novel structure termed the decoupled echo state network (DESN) involving the use of lateral inhibition. Two low-complexity...
132
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IJCNN
2006
IEEE
16 years 23 days ago
2006
IEEE
— We have found a more general formulation of the REINFORCE learning principle which had been proposed by R. J. Williams for the case of artificial neural networks with stochast...