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Published in:
2012 | OriginalPaper | Chapter
Extraction of Prototype-Based Threshold Rules Using Neural Training Procedure
Authors : Marcin Blachnik, Mirosław Kordos, Włodzisław Duch
Published in: Artificial Neural Networks and Machine Learning – ICANN 2012
Publisher: Springer Berlin Heidelberg
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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.