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Description
  • This paper introduces Multiscale False Neighbors Analysis (MSFNA) as a supporting tool for state space reconstruction for real-data based modeling techniques. Common false neighbors analysis evaluates uncertainty in mapping of input data to output data for a single setup of radii that define neighborhood and whose correct definition is usually unknown. Contrary to common false neighbors analysis, MSFNA evaluates uncertainty of input-output mapping data by evaluation of false neighbors along the whole intervals of radii that results in overall characterization of uncertainty in input-output data. The power-law concept is applied to the MSFNA as a supportive technique for characterization of uncertainty in data. The proposed MSFNA is demonstrated on comparison of various estimations of state vectors of an artificial plant as well as a real power plant coal burning furnace.
  • This paper introduces Multiscale False Neighbors Analysis (MSFNA) as a supporting tool for state space reconstruction for real-data based modeling techniques. Common false neighbors analysis evaluates uncertainty in mapping of input data to output data for a single setup of radii that define neighborhood and whose correct definition is usually unknown. Contrary to common false neighbors analysis, MSFNA evaluates uncertainty of input-output mapping data by evaluation of false neighbors along the whole intervals of radii that results in overall characterization of uncertainty in input-output data. The power-law concept is applied to the MSFNA as a supportive technique for characterization of uncertainty in data. The proposed MSFNA is demonstrated on comparison of various estimations of state vectors of an artificial plant as well as a real power plant coal burning furnace. (en)
Title
  • Multiscale Analysis of False Neighbors for State Space Reconstruction of Complicated Systems
  • Multiscale Analysis of False Neighbors for State Space Reconstruction of Complicated Systems (en)
skos:prefLabel
  • Multiscale Analysis of False Neighbors for State Space Reconstruction of Complicated Systems
  • Multiscale Analysis of False Neighbors for State Space Reconstruction of Complicated Systems (en)
skos:notation
  • RIV/68407700:21220/11:00188404!RIV13-MSM-21220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(FR-TI1/538), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 214338
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21220/11:00188404
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • multiscale analysis; power law; false neighbors; state vector; complicated dynamic system; data based modelling (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F21F6F9D40B2]
http://linked.open...v/mistoKonaniAkce
  • Paris
http://linked.open...i/riv/mistoVydani
  • New York
http://linked.open...i/riv/nazevZdroje
  • Merging Fields Of Computational Intelligence and Sensor Technology (CompSens), 2011 IEEE Workshop On
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http://linked.open...iv/tvurceVysledku
  • Bukovský, Ivo
  • Kinsner, W.
  • Krehlik, K.
  • Malý, Vladimír
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000302993800010
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1109/MFCIST.2011.5949517
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  • IEEE
https://schema.org/isbn
  • 978-1-4244-9912-0
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  • 21220
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