Automatic Recurrent ANN Rule Extraction with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{dorado:2002:IJCNN,

• author = "Julian Dorado and Juan R. Rabunal and Daniel Rivero and Antonino Santos and Alejandro Pazos",
• title = "Automatic Recurrent ANN Rule Extraction with Genetic Programming",
• booktitle = "Proceedings of the 2002 International Joint Conference on Neural Networks IJCNN'02",
• pages = "1552--1557",
• year = "2002",
• month = "12-17 " # may,
• address = "Hilton Hawaiian Village Hotel, Honolulu, Hawaii",
• publisher = "IEEE Press",
• publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
• organisation = "IEEE",
• ISBN = "0-7803-7278-6",
• keywords = "genetic algorithms, genetic programming, artificial neural nets, automatic recurrent ANN rule extraction, rule-exploration technique, rule-extraction system, rule-extraction techniques, knowledge acquisition, knowledge based systems, neural nets",
• DOI = "doi:10.1109/IJCNN.2002.1007748",
• abstract = "Various rule-extraction techniques using ANNs have been used so far, most of them being applied on multi-layer ANNs, since they are more easily handled. In many cases, extraction methods focusing on different types of networks and training have been implemented, however, there are virtually no methods that view the extraction of rules from ANNs as systems which are independent from their architecture, training and internal distribution of weights, connections and activation functions. This paper proposes a rule-extraction system of ANNs regardless of their architecture (multi-layer or recurrent), using Genetic programming as a rule-exploration technique.",
• notes = "IJCNN 2002 Held in connection with the World Congress on Computational Intelligence (WCCI 2002)",

}

Genetic Programming entries for Julian Dorado Juan Ramon Rabunal Dopico Daniel Rivero Cebrian Antonino Santos del Riego Alejandro Pazos Sierra

Citations