1701 search results - page 49 / 341 » Learning Mappings with Neural Network |
113
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NN
1998
Springer
15 years 1 months ago
1998
Springer
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
104
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ISCI
2002
15 years 1 months ago
2002
This paper presents FC networks that are instantaneously trained neural networks that allow rapid learning of non-binary data. These networks, which generalize the earlier CC netw...
GECCO
2005
Springer
15 years 7 months ago
2005
Springer
Recurrent neural networks are theoretically capable of learning complex temporal sequences, but training them through gradient-descent is too slow and unstable for practical use i...
101
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IDA
2003
Springer
15 years 7 months ago
2003
Springer
This paper presents an alternative to distance-based neural networks. A distance measure is the underlying property on which many neural models rely, for example self-organizing ma...
100
Voted
NN
2006
Springer
15 years 1 months ago
2006
Springer
The Generative Topographic Mapping (GTM) was originally conceived as a probabilistic alternative to the well-known, neural networkinspired, Self-Organizing Maps. The GTM can also ...