243 search results - page 7 / 49 » Interpretation of Trained Neural Networks by Rule Extraction |
ADCM
2000
14 years 9 months ago
2000
This paper is devoted to the analysis of network approximation in the framework of approximation and regularization theory. It is shown that training neural networks and similar n...
KES
2000
Springer
15 years 1 months ago
2000
Springer
MICAI
2004
Springer
15 years 2 months ago
2004
Springer
IJCAI
1997
14 years 11 months ago
1997
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
ICANN
2005
Springer
15 years 3 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...