Extraction of prototype-based threshold rules using neural training procedure

Authors:
Marcin Blachnik;Mirosław Kordos;Włodzisław Duch
Affiliations:
Department of Management and Informatics, Silesian University of Technology, Katowice, Poland;Department of Mathematics and Computer Science, University of Bielsko-Biala, Bielsko-Biała, Poland;Department of Informatics, Nicolaus Copernicus University, Toruń, Poland,School of Computer Science, Nanyang Technological University, Singapore
Venue:
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Year:
2012

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Abstract

Complex neural and machine learning algorithms usually lack comprehensibility. Combination of sequential covering with prototypes based on threshold neurons leads to a prototype-threshold based rule system. This kind of knowledge representation can be quite efficient, providing solutions to many classification problems with a single rule.