Logo des Repositoriums
 

Neuro-Fuzzy Modelling Based on Kolmogorov's Superposition: a New Tool for Prediction and Classification

Kurzanzeige
dc.contributor.authorKolodyazhniy, Vitaliy
dc.contributor.authorOtto, Peter
dc.contributor.editorJantke, Klaus P.
dc.contributor.editorFähnrich, Klaus-Peter
dc.contributor.editorWittig, Wolfgang S.
dc.date.accessioned2019-08-27T08:15:08Z
dc.date.available2019-08-27T08:15:08Z
dc.date.issued2005
dc.description.abstractIn the paper, a novel Neuro-Fuzzy Kolmogorov's Network (NFKN) is considered. The NFKN is based on the famous Kolmogorov’s superposition theorem (KST). The network consists of two layers of neo-fuzzy neurons (NFNs) and is linear in both the hidden and output layer parameters, so it can be trained with very fast and simple procedures without any nonlinear operations. The validity of theoretical results and the advantages of the NFKN are confirmed by application examples: electric load forecasting, and classification of data from medical and banking domains.en
dc.identifier.isbn3-88579-401-27
dc.identifier.pissn1617-5493
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24898
dc.language.isoen
dc.publisherGesellschaft für Informatik e. V.
dc.relation.ispartofMarktplatz Internet: Von e-Learning bis e-Payment, 13. Leipziger Informatik-Tage (LIT 2005)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-96
dc.titleNeuro-Fuzzy Modelling Based on Kolmogorov's Superposition: a New Tool for Prediction and Classificationen
dc.typeText/Conference Paper
gi.citation.endPage280
gi.citation.publisherPlaceBonn
gi.citation.startPage273
gi.conference.date21.-23. September 2030
gi.conference.locationLeipzig
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild
Name:
GI-Proceedings.72-26.pdf
Größe:
280.88 KB
Format:
Adobe Portable Document Format
Herunterladen

Sammlungen

P072 - LIT 2005 - 13. Leipziger Informatiktage - Marktplatz Internet: Von e-Learning bis e-Payment