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Description
  • Tato práce se zabývá modelováním stáří lidí v době úmrtí z vlastností kosterních pozůstatků pomocí metod výpočetní inteligence. Byly použity a porovnány výsledky různých algoritmů a metod - dopředné neuronové sítě, vektorová kvantizace (LVQ), group of adaptive models evolution (GAME). Použitá antropologická data, stejně jako většina dat získaných pomoc pozorování, obsahují značné množství šumu a tím modelvání znesnadňují. Cílem bylo najít co možná nejlepší výsledek na takových datech a porovnat jednotlivé metody mezi sebou. (cs)
  • This paper presents the work of age prediction of human beings from their skeletal indicators using computational intelligence methods, such as feedforward neural networks, learning vector quantization (LVQ) and group of adaptive models evolution (GAME). The anthropology data set we have performed our experiments on, contains a lot of noise, which is characteristic feature of almost all data collected by observation. Goal of this work was to get the best possible results of the age prediction on such noisy data and to compare the results of particular methods.
  • This paper presents the work of age prediction of human beings from their skeletal indicators using computational intelligence methods, such as feedforward neural networks, learning vector quantization (LVQ) and group of adaptive models evolution (GAME). The anthropology data set we have performed our experiments on, contains a lot of noise, which is characteristic feature of almost all data collected by observation. Goal of this work was to get the best possible results of the age prediction on such noisy data and to compare the results of particular methods. (en)
Title
  • Age Prediction from Skeletal Indicators using Computational Intelligence Methods
  • Modelování stáří z kosterních pozůstatků metodami výpočetní inteligence (cs)
  • Age Prediction from Skeletal Indicators using Computational Intelligence Methods (en)
skos:prefLabel
  • Age Prediction from Skeletal Indicators using Computational Intelligence Methods
  • Modelování stáří z kosterních pozůstatků metodami výpočetní inteligence (cs)
  • Age Prediction from Skeletal Indicators using Computational Intelligence Methods (en)
skos:notation
  • RIV/68407700:21230/07:03133042!RIV08-AV0-21230___
http://linked.open.../vavai/riv/strany
  • Nečíslováno
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(KJB201210701), Z(MSM6840770012)
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
  • 408740
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/07:03133042
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • anthropology; inductive modelling; neural networks; prediction; real data (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [1C67F8E146C0]
http://linked.open...v/mistoKonaniAkce
  • Praha
http://linked.open...i/riv/mistoVydani
  • Prague
http://linked.open...i/riv/nazevZdroje
  • Proceeding of International Workshop on Inductive Modelling
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
  • Buk, Zdeněk
  • Kordík, Pavel
  • Šnorek, Miroslav
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
  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 978-80-01-03881-9
http://localhost/t...ganizacniJednotka
  • 21230
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