1701 search results - page 102 / 341 » Learning Mappings with Neural Network |
147
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WSOM
2009
Springer
15 years 11 months ago
2009
Springer
This paper discusses biological aspects of self-organising maps (SOMs) which includes a brief review of neurophysiological findings and classical models of neurophysiological SOMs...
130
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IDEAL
2004
Springer
15 years 10 months ago
2004
Springer
In order for a neural network ensemble to generalise properly, two factors are considered vital. One is the diversity and the other is the accuracy of the networks that comprise th...
132
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ICES
2003
Springer
15 years 10 months ago
2003
Springer
Abstract. In [8] Yamauchi and Beer explored the abilities of continuous time recurrent neural networks (CTRNNs) to display reinforcementlearning like abilities. The investigated ta...
166
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IEEEICCI
2002
IEEE
15 years 10 months ago
2002
IEEE
We present a model of creating a hierarchical set of rules that encode generalizations and exceptions derived from induction learning. The rules use the input features directly an...
132
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ICONIP
2004
15 years 6 months ago
2004
Abstract. This paper examines the generalization capability in learning multiple temporal patterns by the recurrent neural network with parametric bias (RNNPB). Our simulation expe...