243 search results - page 8 / 49 » Interpretation of Trained Neural Networks by Rule Extraction |
ICANN
2001
Springer
15 years 2 months ago
2001
Springer
Support vector machines have gotten wide acceptance for their high generalization ability for real world applications. But the major drawback is slow training for classification p...
102
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
Abstract— Neural processing of large-scale data sets containing both many input / output variables and a large number of training examples often leads to very large networks. Onc...
CORR
2011
Springer
14 years 4 months ago
2011
Springer
Two types of combining strategies were evaluated namely combining skin features and combining skin classifiers. Several combining rules were applied where the outputs of the skin ...
APIN
2010
14 years 9 months ago
2010
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
IDEAL
2005
Springer
15 years 3 months ago
2005
Springer
Artificial neural networks play an important role for pattern recognition tasks. However, due to poor comprehensibility of the learned network, and the inability to represent expl...