243 search results - page 2 / 49 » Interpretation of Trained Neural Networks by Rule Extraction |
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Although backpropagation ANNs generally predict better than decision trees do for pattern classification problems, they are often regarded as black boxes, i.e., their predictions c...
NIPS
1992
13 years 6 months ago
1992
We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...
ICML
1991
IEEE
13 years 8 months ago
1991
IEEE
Artificial neural networks have proven to be a successful, general method for inductive learning from examples. However, they have not often been viewed in terms of constructive ...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
ESANN
2003
13 years 6 months ago
2003
In this paper we propose a new algorithm for rule extraction from a trained Multilayer Feedforward network. The algorithm is based on an interval arithmetic network inversion for p...