Session:

Evolutionary Computation and Neural Networks (ECNN)
Monday March 01, 2004, 17.35 – 17.55

Session Chair:

Paulo Cortez, Miguel Rocha

Paper Title:

Hierarchical Evolutionary Algorithm in the Rule Extraction from Neural Network

Author(s):

U. Markowska-Kaczmar, Department of Computer Science, Wroclaw University of Technology, Poland
R. Zagorski, Department of Computer Science, Wroclaw University of Technology, Poland

Abstract:

This paper describes a method of extracting rules from trained neural network based on two-level hierarchical evolutionary algorithm. Evolutionary algorithm on the lower level extracts one rule at a time. Those rules are the base for higher level evolutionary algorithm to search for whole set of rules. The proposed method has been tested on five public domain data sets and the results have been compared with other rule extraction methods.