About: The Selection of Patterns in Training Set for On-Line Neural Network Identification     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • The on-line identification algorithms based on neural networks are widely used methods for system identification. As the identification is performed on-line, the number of measurements is increasing continuously, and thus the training set for neural network is growing. The problem is that the size of the training set is limited. This paper describes the novel method for training pattern selection. Presented method improves the performance and stability of the identification.
  • The on-line identification algorithms based on neural networks are widely used methods for system identification. As the identification is performed on-line, the number of measurements is increasing continuously, and thus the training set for neural network is growing. The problem is that the size of the training set is limited. This paper describes the novel method for training pattern selection. Presented method improves the performance and stability of the identification. (en)
Title
  • The Selection of Patterns in Training Set for On-Line Neural Network Identification
  • The Selection of Patterns in Training Set for On-Line Neural Network Identification (en)
skos:prefLabel
  • The Selection of Patterns in Training Set for On-Line Neural Network Identification
  • The Selection of Patterns in Training Set for On-Line Neural Network Identification (en)
skos:notation
  • RIV/00216305:26220/08:PU76049!RIV10-GA0-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/06/1132)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 394170
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/08:PU76049
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Neral network, training set, self-tuning, on-line identification (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4F7A4B26D1CE]
http://linked.open...v/mistoKonaniAkce
  • Gliwice
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • International Workshop Control and Information Technology IWCIT 2008
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Lorenc, Vlastimil
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 80-7078-907-7
http://localhost/t...ganizacniJednotka
  • 26220
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software