Extraction of prototype-based threshold rules using neural training procedure

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 cla...

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Bibliographic Details
Main Authors: Blachnik, Marcin, Kordos, Miroslaw, Duch, Włodzisław
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/99223
http://hdl.handle.net/10220/17209
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Institution: Nanyang Technological University
Language: English

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