115 search results - page 5 / 23 » Extraction of Symbolic Rules from Artificial Neural Networks |
TNN
1998
13 years 7 months ago
1998
—Recurrent neural networks processing symbolic strings can be regarded as adaptive neural parsers. Given a set of positive and negative examples, picked up from a given language,...
CEC
2008
IEEE
14 years 2 months ago
2008
IEEE
—Genetic programming (GP), is a very general and efficient technique, often capable of outperforming more specialized techniques on a variety of tasks. In this paper, we suggest ...
ICML
1991
IEEE
13 years 11 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 ...
ESANN
2003
13 years 9 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...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
In this paper, it will be shown that it is feasible to extract finite state machines in a domain of, for rule extraction, previously unencountered complexity. The algorithm used i...