640 search results - page 48 / 128 » Extracting Propositions from Trained 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...
IDA
2010
Springer
14 years 8 months ago
2010
Springer
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...
ICANN
2010
Springer
14 years 9 months ago
2010
Springer
We propose a data structure that decreases complexity of unsupervised competitive learning algorithms which are based on the growing cells structures approach. The idea is based on...
CIDM
2009
IEEE
15 years 4 months ago
2009
IEEE
—Some data mining problems require predictive models to be not only accurate but also comprehensible. Comprehensibility enables human inspection and understanding of the model, m...
EUSFLAT
2003
14 years 11 months ago
2003
Recently, several algorithms have been proposed for using neural networks in dynamic analysis of small structural systems, and also constructing adaptive material modeling subrout...