14898 search results - page 156 / 2980 » Design of Neural Networks |
GECCO
2003
Springer
15 years 3 months ago
2003
Springer
Abstract. Self-Organizing Map (SOM) is an unsupervised learning neural network and it is used for preserving the structural relationships in the data without prior knowledge. SOM h...
METMBS
2004
14 years 11 months ago
2004
In this thesis we compare several machine learning techniques for evaluating external skeletal fixation proposals. We experimented in the context of dog bone fractures but the pot...
ICANN
2010
Springer
14 years 11 months ago
2010
Springer
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
113
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ICANN
2011
Springer
14 years 1 months ago
2011
Springer
The artificial neural networks that are used to recognize shapes typically use one or more layers of learned feature detectors that produce scalar outputs. By contrast, the comput...
105
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IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...