About: Modeling of Relationships between Economic Performance and Environmental Quality using Neural Networks with Unsupervised Learning - the Case of the Czech Republic Regions     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 paper presents design of economic and environmental parameters which characterize the regions of the Czech Republic. Based on these parameters models were designed which are related to economic performance and environment. Using the listed facts, it is possible to look for connections of economic performance and environmental quality of individual regions in the Czech Republic. The modeling as such is realized based on neural networks with unsupervised learning, i.e. using Kohonen's self-organizing feature maps.
  • The paper presents design of economic and environmental parameters which characterize the regions of the Czech Republic. Based on these parameters models were designed which are related to economic performance and environment. Using the listed facts, it is possible to look for connections of economic performance and environmental quality of individual regions in the Czech Republic. The modeling as such is realized based on neural networks with unsupervised learning, i.e. using Kohonen's self-organizing feature maps. (en)
Title
  • Modeling of Relationships between Economic Performance and Environmental Quality using Neural Networks with Unsupervised Learning - the Case of the Czech Republic Regions
  • Modeling of Relationships between Economic Performance and Environmental Quality using Neural Networks with Unsupervised Learning - the Case of the Czech Republic Regions (en)
skos:prefLabel
  • Modeling of Relationships between Economic Performance and Environmental Quality using Neural Networks with Unsupervised Learning - the Case of the Czech Republic Regions
  • Modeling of Relationships between Economic Performance and Environmental Quality using Neural Networks with Unsupervised Learning - the Case of the Czech Republic Regions (en)
skos:notation
  • RIV/00216275:25410/12:39895108!RIV13-TA0-25410___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(TD010130)
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
  • 151036
http://linked.open...ai/riv/idVysledku
  • RIV/00216275:25410/12:39895108
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Kohonen's selforganizing feature maps.; unsupervised learning; modeling; environmental quality; Economic performance (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E121707F582D]
http://linked.open...v/mistoKonaniAkce
  • Paris
http://linked.open...i/riv/mistoVydani
  • Atény
http://linked.open...i/riv/nazevZdroje
  • Recent Advances in Energy, Environment and Economic Development
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
  • Hájek, Petr
  • Obršálová, Ilona
  • Olej, Vladimír
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • WSEAS Press
https://schema.org/isbn
  • 978-1-61804-139-5
http://localhost/t...ganizacniJednotka
  • 25410
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