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Description
  • The paper describes an automatic document concepts searching metod based on recurrent neural network implementation of Boolean factor analysis procedure. Advantage of this approach is the ability of effective analysis of large natural language databases, with rich vocabulary and easy concepts update. Hoppfield-like associative memory with parallel dynamics was substantionaly modified to fulfill this task. We developed totally new recall procedure that allows for the search of all attractors corresponding to factors (a true attractor). Necessary separation of spurious attractors is based on calculation of their Lyapunov function. Being applied to textual data the procedure allows to reveal groups of highly correlated words (factors) which frequently occur in documents jointly and represent concepts covered by these documents.
  • The paper describes an automatic document concepts searching metod based on recurrent neural network implementation of Boolean factor analysis procedure. Advantage of this approach is the ability of effective analysis of large natural language databases, with rich vocabulary and easy concepts update. Hoppfield-like associative memory with parallel dynamics was substantionaly modified to fulfill this task. We developed totally new recall procedure that allows for the search of all attractors corresponding to factors (a true attractor). Necessary separation of spurious attractors is based on calculation of their Lyapunov function. Being applied to textual data the procedure allows to reveal groups of highly correlated words (factors) which frequently occur in documents jointly and represent concepts covered by these documents. (en)
  • Uvedena je nová metoda pro automatické vyhledávání konceptů v textových databázích založená na rekurentní neuronové síti Hoppfieldova typu implementující Booleovou faktorovou analýzu. Výhodou tohoto přístupu je schopnost efektivní analýzi v rozsahlých databázích v přirozeném jazyce , s rozsáhlým slovníkem termů a konceptem snadné aktualizace. Nová asociativní paměť Hoppfieldova typu s paralelní dynamikou byla implementována pro řešení této úlohy (cs)
Title
  • Neural Network Based Boolean Factor Analysis: Efficient Tool for Automated Topics Search.
  • Neurosíťová booleovská faktorová analýza: efektivní nástroj pro automatické vyhledávání témet (cs)
  • Neural Network Based Boolean Factor Analysis: Efficient Tool for Automated Topics Search. (en)
skos:prefLabel
  • Neural Network Based Boolean Factor Analysis: Efficient Tool for Automated Topics Search.
  • Neurosíťová booleovská faktorová analýza: efektivní nástroj pro automatické vyhledávání témet (cs)
  • Neural Network Based Boolean Factor Analysis: Efficient Tool for Automated Topics Search. (en)
skos:notation
  • RIV/67985807:_____/06:00032258!RIV07-AV0-67985807
http://linked.open.../vavai/riv/strany
  • 321;327
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300419), Z(AV0Z10300504)
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
  • 488392
http://linked.open...ai/riv/idVysledku
  • RIV/67985807:_____/06:00032258
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Boolean factor analysis; neural networks; associative memory; clustering; web searching; semantic web; information retrieval; document indexing; document classification; document processing; data mining; machine learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CED074727A10]
http://linked.open...v/mistoKonaniAkce
  • Amman
http://linked.open...i/riv/mistoVydani
  • Amman
http://linked.open...i/riv/nazevZdroje
  • Computer Science and Information Technology
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
  • Frolov, A. A.
  • Húsek, Dušan
  • Polyakov, P. Y.
  • Řezanková, H.
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
  • Applied Science Private University
https://schema.org/isbn
  • 9957-8592-0-X
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