"4"^^ . "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." . "New York" . "Paris" . "RIV/68407700:21220/11:00188404!RIV13-MSM-21220___" . "Multiscale Analysis of False Neighbors for State Space Reconstruction of Complicated Systems"@en . . "http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949517" . . . "2"^^ . "Merging Fields Of Computational Intelligence and Sensor Technology (CompSens), 2011 IEEE Workshop On" . . . . "IEEE" . "Krehlik, K." . . . . . . "8"^^ . . "Multiscale Analysis of False Neighbors for State Space Reconstruction of Complicated Systems" . "multiscale analysis; power law; false neighbors; state vector; complicated dynamic system; data based modelling"@en . "[F21F6F9D40B2]" . "Mal\u00FD, Vladim\u00EDr" . . . "P(FR-TI1/538), S" . "RIV/68407700:21220/11:00188404" . "000302993800010" . "Bukovsk\u00FD, Ivo" . . . . "Kinsner, W." . "214338" . . "2011-04-11+02:00"^^ . "Multiscale Analysis of False Neighbors for State Space Reconstruction of Complicated Systems"@en . . "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 . . "21220" . . "978-1-4244-9912-0" . . "10.1109/MFCIST.2011.5949517" . "Multiscale Analysis of False Neighbors for State Space Reconstruction of Complicated Systems" .