About: Modified back-propagation for rule based systems     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
  • Tento článek popisuje způsob eliminace znalostního inženýra z procesu tvorby báze znalostí expertních systémů. Metody k tomu používané jsou většinou založeny na fůzi pravidel a neuronových sítích. Jsou zde představeny dva základní algoritmy řešící tuto úlohu a popsány jejich výhody a nedostatky. Další část je věnována metodě založené na modifikaci algoritmu back-propagation, pomocí které je možno učit váhy v pravidlové síti přímo. Jsou zde popsány struktura, vlastnosti a způsob učení touto metodou. V závěru je uveden příklad použití algoritmu a jeho přínosy. (cs)
  • This paper describes a method to eliminate knowledge engineer from the process of expert system's knowledge base creation. The methods developed for this task are mainly based on fusion of neural networks and rules. Two basic algorithms are shortly presented here and their advantages and shortcomings are noticed. The developed method consists on a modification of back-propagation algorithm to learn the rule base directly. The structure, properties and method of learning are presented. Finally the process of using the algorithm and its main advantages are described.
  • This paper describes a method to eliminate knowledge engineer from the process of expert system's knowledge base creation. The methods developed for this task are mainly based on fusion of neural networks and rules. Two basic algorithms are shortly presented here and their advantages and shortcomings are noticed. The developed method consists on a modification of back-propagation algorithm to learn the rule base directly. The structure, properties and method of learning are presented. Finally the process of using the algorithm and its main advantages are described. (en)
Title
  • Modified back-propagation for rule based systems
  • Modified back-propagation for rule based systems (en)
  • Modifikace algoritmu Back-propagation pro pravidlové systémy (cs)
skos:prefLabel
  • Modified back-propagation for rule based systems
  • Modified back-propagation for rule based systems (en)
  • Modifikace algoritmu Back-propagation pro pravidlové systémy (cs)
skos:notation
  • RIV/00216305:26220/07:PU70011!RIV08-MSM-26220___
http://linked.open.../vavai/riv/strany
  • 150-154
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021630529)
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
  • 434740
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/07:PU70011
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • back-propagation, expert system, knowledge-base, learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [FA4734B5517B]
http://linked.open...v/mistoKonaniAkce
  • Porto
http://linked.open...i/riv/mistoVydani
  • Porto, Portugal
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the IASK International Conference E-Activity and Leading Technologies
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Valenta, Jan
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
  • Neuveden
https://schema.org/isbn
  • 978-972-99397-5-4
http://localhost/t...ganizacniJednotka
  • 26220
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, 77 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software