115 search results - page 9 / 23 » Extraction of Symbolic Rules from Artificial Neural Networks |
OGAI
1993
13 years 11 months ago
1993
Fuzzy controllers are designed to work with knowledge in the form of linguistic control rules. But the translation of these linguistic rules into the framework of fuzzy set theory ...
CORR
2002
Springer
13 years 7 months ago
2002
Springer
Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness...
TNN
2008
13 years 7 months ago
2008
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
NIPS
2000
13 years 9 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
This paper presents a model of neural network embodiment of intentions and planning mechanisms for autonomous agents. The model bridges the dichotomy of symbolic and non-symbolic ...