About: Drape prediction from mechanical properties of woven fabrics by means regression analysis and neural networks     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
  • Fabric drape is very important characteristic connected with aesthetical product appearance. This paper deals with possibilities of drape prediction (DC) of woven fabrics from their mechanical properties, which are measured by means of KES.Multiple linear regression and neural networks in connection with PCA - analysis principal components was used as prediction tools. From 16 basic properties were chosen five mechanical parameters (2HB, 2HG5, MIU, T0, W) and on their base were created tworegression models. These variables were used as input to the neural networks utilizing rational basis functions (RBF networks) Correlation between predicate DC and real DC is very good, nevertheless prediction with help RBF is better, about 0,97.
  • Fabric drape is very important characteristic connected with aesthetical product appearance. This paper deals with possibilities of drape prediction (DC) of woven fabrics from their mechanical properties, which are measured by means of KES.Multiple linear regression and neural networks in connection with PCA - analysis principal components was used as prediction tools. From 16 basic properties were chosen five mechanical parameters (2HB, 2HG5, MIU, T0, W) and on their base were created tworegression models. These variables were used as input to the neural networks utilizing rational basis functions (RBF networks) Correlation between predicate DC and real DC is very good, nevertheless prediction with help RBF is better, about 0,97. (en)
  • Splývavost textilii je jedním z důležitých faktorů, které významně ovlivňují celkový estetický vzhled oděvních výrobků. Příspěvek pojednává o možnosti predikce splývavosti tkanin (DC) z jejich mechanických vlastností měřených systémem KES. Pro predikcibyly využity nástroje vícenásobné lineární regresní analýzy a neuronových sítí ve spojení s analýzou hlavních komponent - PCA. (cs)
Title
  • Predikce splývavosti tkanin z mechanických vlastností s využitím regresní analýzy a neuronových sítí (cs)
  • Drape prediction from mechanical properties of woven fabrics by means regression analysis and neural networks
  • Drape prediction from mechanical properties of woven fabrics by means regression analysis and neural networks (en)
skos:prefLabel
  • Predikce splývavosti tkanin z mechanických vlastností s využitím regresní analýzy a neuronových sítí (cs)
  • Drape prediction from mechanical properties of woven fabrics by means regression analysis and neural networks
  • Drape prediction from mechanical properties of woven fabrics by means regression analysis and neural networks (en)
skos:notation
  • RIV/46747885:24410/04:00000123!RIV/2005/MSM/244105/N
http://linked.open.../vavai/riv/strany
  • 321;326
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 244100004)
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
  • 561201
http://linked.open...ai/riv/idVysledku
  • RIV/46747885:24410/04:00000123
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • drape;mechanical properties;regresion analysis;neural networks;KES (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E5BA7D70F4E0]
http://linked.open...v/mistoKonaniAkce
  • Liberec
http://linked.open...i/riv/mistoVydani
  • Liberec
http://linked.open...i/riv/nazevZdroje
  • STRUTEX 2004
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Glombíková, Viera
  • Halasová, Andrea
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
  • Technická univerzita v Liberci
https://schema.org/isbn
  • 80-7083-891-4
http://localhost/t...ganizacniJednotka
  • 24410
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, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software