About: Prediction of Muscle Forces Using Neural Network Backpropagation     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
  • Byl navržen model neuronové sítě se zpětným šířením chyby pro predikci svalových sil v loketním kloubu. Loketní kloub byl vybrán, protože poskytuje dobrou vizuální demonstraci rovinného pohybu. Navržený objekt neuronové sítě simuloval kooperaci 7 svalů v loketním kloubu, 4 flexory: m.biceps brachii c.longum a c.breve; m.brachialis; m.brachioradialis; a 3 extensory: m.triceps brachii c.laterale, c.mediale a c.longum. (cs)
  • The model of a backpropagation neural network with a learning algorithm (BPG) was suggested in order to predict the muscle forces about the elbow actuators without advance knowledge of the relation between inputs and outputs. The elbow joint was selected because it provides a good visual demonstration, and the movement is uniplanar and uniarticular. The proposed object of the neural network simulated the cooperation of 7 musculotendon actuators in the elbow joint, four flexors: m.biceps brachii c.longum and c.breve; m.brachialis; m.brachioradialis; and three extensors: m.triceps brachii c.laterale, c.mediale and c.longum.
  • The model of a backpropagation neural network with a learning algorithm (BPG) was suggested in order to predict the muscle forces about the elbow actuators without advance knowledge of the relation between inputs and outputs. The elbow joint was selected because it provides a good visual demonstration, and the movement is uniplanar and uniarticular. The proposed object of the neural network simulated the cooperation of 7 musculotendon actuators in the elbow joint, four flexors: m.biceps brachii c.longum and c.breve; m.brachialis; m.brachioradialis; and three extensors: m.triceps brachii c.laterale, c.mediale and c.longum. (en)
Title
  • Prediction of Muscle Forces Using Neural Network Backpropagation
  • Predikce svalové síly použitím neuronové sítě se zpětným šířením chyby (cs)
  • Prediction of Muscle Forces Using Neural Network Backpropagation (en)
skos:prefLabel
  • Prediction of Muscle Forces Using Neural Network Backpropagation
  • Predikce svalové síly použitím neuronové sítě se zpětným šířením chyby (cs)
  • Prediction of Muscle Forces Using Neural Network Backpropagation (en)
skos:notation
  • RIV/68407700:21220/05:02110258!RIV06-MSM-21220___
http://linked.open.../vavai/riv/strany
  • 11 ; 12
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
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
  • 537763
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21220/05:02110258
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • elbow joint; muscle forces; neural network (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0BB3D8DA9EB6]
http://linked.open...v/mistoKonaniAkce
  • Castrocaro Terme
http://linked.open...i/riv/mistoVydani
  • Bologna
http://linked.open...i/riv/nazevZdroje
  • 4th YSESM
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Sochor, Miroslav
  • Vilímek, Miloslav
  • Vejpustková, Jana
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of Bologna
https://schema.org/isbn
  • 88-901080-2-9
http://localhost/t...ganizacniJednotka
  • 21220
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, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software