1701 search results - page 70 / 341 » Learning Mappings with Neural Network |
127
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IJON
2002
15 years 4 months ago
2002
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...
137
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PRL
1998
15 years 4 months ago
1998
Surprisingly simple local learning algorithms are known to outperform many other global non-linear machines. Unfortunately, these algorithms are computationally costly. A means of...
124
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CIMCA
2005
IEEE
15 years 10 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...
146
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ICANN
2010
Springer
15 years 4 months ago
2010
Springer
We propose a data structure that decreases complexity of unsupervised competitive learning algorithms which are based on the growing cells structures approach. The idea is based on...
126
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ICDAR
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper studies on the mirror image learning algorithm for the autoassociative neural networks and evaluates the performance by handwritten numeral recognition test. Each of th...