4864 search results - page 433 / 973 » Evolving neural networks |
162
Voted
EAAI
2006
15 years 6 months ago
2006
An artificial neural network (ANN) model for predicting the failure rate of De Havilland Dash-8 airplane tires utilizing the twolayered feed-forward back-propagation algorithm as ...
141
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IJON
2006
15 years 6 months ago
2006
Modeling studies have shown that recurrent interactions within neural networks are capable of self-sustaining non-uniform activity profiles. These patterns are thought to be the n...
189
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JSA
1998
15 years 6 months ago
1998
The composition of the example set has a major impact on the quality of neural learning. The popular approach is focused on extensive preprocessing to bridge the representation ga...
199
Voted
GECCO
2008
Springer
15 years 8 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
177
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ESANN
2004
15 years 8 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...