641 search results - page 58 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
TSD
2010
Springer
14 years 7 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
CEC
2003
IEEE
15 years 3 months ago
2003
IEEE
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
IJCAI
1997
14 years 11 months ago
1997
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper presents an approach on how to adapt playgrounds using artificial neural networks (ANN). The playground consists of small tiles each capable of outputting coloured ...
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GEM
2009
14 years 7 months ago
2009
Self-organizing systems could serve as a solution for many technical problems where properties like robustness, scalability, and adaptability are required. However, despite all the...