About: Computational Intelligence in Transportation Applications     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 main objective of this workshop is to provide an overview of methods that belong to the field of computational intelligence and their suitability for transportation planning and modeling. The following methods will be addressed by this workshop: Fuzzy Logic, Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Genetic Algorithms. The basic principles of these methods will be described and their practical applications will be illustrated with examples. Often the methods of computational intelligence suffer criticism about their performance due to inappropriate use to problems that they are not meant to serve. This workshop will offer the strengths and weaknesses of each method and describe the appropriate problems for each. The workshop will focus mainly on applications to data analysis and data mining.
  • The main objective of this workshop is to provide an overview of methods that belong to the field of computational intelligence and their suitability for transportation planning and modeling. The following methods will be addressed by this workshop: Fuzzy Logic, Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Genetic Algorithms. The basic principles of these methods will be described and their practical applications will be illustrated with examples. Often the methods of computational intelligence suffer criticism about their performance due to inappropriate use to problems that they are not meant to serve. This workshop will offer the strengths and weaknesses of each method and describe the appropriate problems for each. The workshop will focus mainly on applications to data analysis and data mining. (en)
  • Hlavním cílem tohoto příspěvku je popsat metody umělé inteligence jejich hlavní výhody a nevýhody. Hlavní důraz byl kladen na jejich aplikace v dopravě. Jednalo se zejména o následující metody: fuzzy logika, umělé neuronové sítě, adaptivní neuro=fuzzy inferenční systém (ANFIS), a genetické algorimy. (cs)
Title
  • Umělá inteligence v dopravních aplikacích (cs)
  • Computational Intelligence in Transportation Applications
  • Computational Intelligence in Transportation Applications (en)
skos:prefLabel
  • Umělá inteligence v dopravních aplikacích (cs)
  • Computational Intelligence in Transportation Applications
  • Computational Intelligence in Transportation Applications (en)
skos:notation
  • RIV/68407700:21260/04:06106545!RIV/2005/MSM/212605/N
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM 210000023)
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
  • 558458
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21260/04:06106545
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • artificial intelligence; fuzzy logic; soft computing; transportation applications (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...i/riv/kodPristupu
http://linked.open...ontrolniKodProRIV
  • [47D6DF478A34]
http://linked.open...i/riv/mistoVydani
  • Athens
http://linked.open...n/vavai/riv/nosic
  • neuvedeno
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Přibyl, Ondřej
http://linked.open...n/vavai/riv/zamer
http://localhost/t...ganizacniJednotka
  • 21260
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, 24 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software