About: Recursive parameters estimation and structure adaptation of neural network     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
  • Je prezentována aplikace neuronových sítí pro identifikaci nelineárních stochastických systémů. Důraz je kladen na odhad parametrů a adaptaci struktury sítí. Jsou trénovány globální metodou filtrace, která umožňuje určení podmíněných hustot pravděpodo (cs)
  • Application of neural networks in identification of nonlin- ear stochastic systems is treated. The stress is laid on a parameters estimation and structure adaptation of the net- works. They are trained by a global filtering method allow- ing to determine
  • Application of neural networks in identification of nonlin- ear stochastic systems is treated. The stress is laid on a parameters estimation and structure adaptation of the net- works. They are trained by a global filtering method allow- ing to determine (en)
Title
  • Recursive parameters estimation and structure adaptation of neural network
  • Recursive parameters estimation and structure adaptation of neural network (en)
  • Rekuzivní odhad parametrů a adaptace struktury neuronové sítě (cs)
skos:prefLabel
  • Recursive parameters estimation and structure adaptation of neural network
  • Recursive parameters estimation and structure adaptation of neural network (en)
  • Rekuzivní odhad parametrů a adaptace struktury neuronové sítě (cs)
skos:notation
  • RIV/49777513:23520/05:00000115!RIV06-GA0-23520___
http://linked.open.../vavai/riv/strany
  • 78-83
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/2075)
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
  • 540359
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/05:00000115
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • system identification, nonlinear parameters estimation, structure adaptation, probability density function, multi- layer perceptron network. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3B472343147C]
http://linked.open...v/mistoKonaniAkce
  • Cambridge
http://linked.open...i/riv/mistoVydani
  • Anaheim
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the eighth IASTED international conference on Intelligent systems and control
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
  • Hering, Pavel
  • Šimandl, Miroslav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACTA Press
https://schema.org/isbn
  • 0-88986-517-5
http://localhost/t...ganizacniJednotka
  • 23520
is http://linked.open...avai/riv/vysledek of
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, 112 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software