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» Extraction of Logical Rules from Neural Networks
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NPL
1998
129views more  NPL 1998»
13 years 4 months ago
Extraction of Logical Rules from Neural Networks
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
ESANN
1997
13 years 6 months ago
Extraction of crisp logical rules using constrained backpropagation networks
Two recently developed methods for extraction of crisp logical rules from neural networks trained with backpropagation algorithm are compared. Both methods impose constraints on th...
Wlodzislaw Duch, Rafal Adamczak, Krzysztof Grabcze...
FUZZY
2001
Springer
121views Fuzzy Logic» more  FUZZY 2001»
13 years 9 months ago
Interpretation of Trained Neural Networks by Rule Extraction
Vasile Palade, Ciprian-Daniel Neagu, Ronald J. Pat...
IJAR
2006
133views more  IJAR 2006»
13 years 4 months ago
Extraction of similarity based fuzzy rules from artificial neural networks
A method to extract a fuzzy rule based system from a trained artificial neural network for classification is presented. The fuzzy system obtained is equivalent to the correspondin...
Carlos Javier Mantas, José Manuel Puche, J....
CORR
2010
Springer
150views Education» more  CORR 2010»
13 years 5 months ago
Extraction of Symbolic Rules from Artificial Neural Networks
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...
S. M. Kamruzzaman, Md. Monirul Islam