Extraction of prototype-based threshold rules using neural training procedure

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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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
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-992232020-05-28T07:17:41Z Extraction of prototype-based threshold rules using neural training procedure Blachnik, Marcin Kordos, Miroslaw Duch, Włodzisław School of Computer Engineering International Conference on Artificial Neural Networks (22nd : 2012 : Lausanne, Switzerland) DRNTU::Engineering::Computer science and engineering 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. 2013-11-01T02:59:45Z 2019-12-06T20:04:50Z 2013-11-01T02:59:45Z 2019-12-06T20:04:50Z 2012 2012 Conference Paper Blachnik, M., Kordos, M., & Duch, W. (2012). Extraction of prototype-based threshold rules using neural training procedure. 22nd International Conference on Artificial Neural Networks, ICANN 2012, pp.255-262. https://hdl.handle.net/10356/99223 http://hdl.handle.net/10220/17209 10.1007/978-3-642-33266-1_32 en
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Blachnik, Marcin
Kordos, Miroslaw
Duch, Włodzisław
Extraction of prototype-based threshold rules using neural training procedure
description 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.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Blachnik, Marcin
Kordos, Miroslaw
Duch, Włodzisław
format Conference or Workshop Item
author Blachnik, Marcin
Kordos, Miroslaw
Duch, Włodzisław
author_sort Blachnik, Marcin
title Extraction of prototype-based threshold rules using neural training procedure
title_short Extraction of prototype-based threshold rules using neural training procedure
title_full Extraction of prototype-based threshold rules using neural training procedure
title_fullStr Extraction of prototype-based threshold rules using neural training procedure
title_full_unstemmed Extraction of prototype-based threshold rules using neural training procedure
title_sort extraction of prototype-based threshold rules using neural training procedure
publishDate 2013
url https://hdl.handle.net/10356/99223
http://hdl.handle.net/10220/17209
_version_ 1681057687693950976

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