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» Interpretation of Trained Neural Networks by Rule Extraction
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FUZZY
2001
Springer
121views Fuzzy Logic» more  FUZZY 2001»
14 years 3 months ago
Interpretation of Trained Neural Networks by Rule Extraction
Vasile Palade, Ciprian-Daniel Neagu, Ronald J. Pat...
ESANN
2003
14 years 4 days ago
Extraction of fuzzy rules from trained neural network using evolutionary algorithm
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...
Urszula Markowska-Kaczmar, Wojciech Trelak
ASC
2004
13 years 10 months ago
Extracting rules from trained neural network using GA for managing E-business
Theabilitytointelligentlycollect,manageandanalyzeinformationaboutcustomersandsellersisakeysourceofcompetitive advantage for an e-business. This ability provides an opportunity to ...
Atta Ebrahim E. ElAlfi, R. Haque, M. Esmel ElAlami
IJAR
2006
133views more  IJAR 2006»
13 years 10 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....
NPL
1998
129views more  NPL 1998»
13 years 10 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...