Extraction of prototype-based threshold rules using neural training procedure

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

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.