1701 search results - page 68 / 341 » Learning Mappings with Neural Network |
136
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ICANN
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
142
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ICANN
2007
Springer
15 years 8 months ago
2007
Springer
We present an artificial neural network used to learn online complex temporal sequences of gestures to a robot. The system is based on a simple temporal sequences learning architec...
146
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ESANN
2008
15 years 6 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
125
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GECCO
2006
Springer
15 years 8 months ago
2006
Springer
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
123
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NN
1998
Springer
15 years 4 months ago
1998
Springer
There are many applications of multilayer neural networks to pattern classification problems in the engineering field. Recently, it has been shown that Bayes a posteriori probab...