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Global versus local approximation in inverse problems
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SYSNO ASEP 0103680 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Ostatní články Title Global versus local approximation in inverse problems Title Globální versus lokální aproximátory v inverzních problémech Author(s) Krejsa, Jiří (UT-L) RID, ORCID
Věchet, S. (CZ)
Pulchart, J. (CZ)Source Title Elektronika - ISSN 0033-2089
Roč. 2004, 8-9 (2004), s. 57-60Number of pages 4 s. Action Mechatronics 2004 Event date 23.09.2004-25.09.2004 VEvent location Warsaw Country PL - Poland Event type WRD Language eng - English Country PL - Poland Keywords approximation ; inverse problems Subject RIV BC - Control Systems Theory CEZ AV0Z2076919 - UT-L Annotation The paper compares global and local approximation methods used in inverse problems. Global approximators are represented by feedforward multilayer neural network (FFNN); local approximators are represented by Locally Weighted Regression (LWR) and Receptive Field Weighted Regression (RFWR). Workplace Institute of Thermomechanics Contact Marie Kajprová, kajprova@it.cas.cz, Tel.: 266 053 154 ; Jana Lahovská, jaja@it.cas.cz, Tel.: 266 053 823 Year of Publishing 2005
Number of the records: 1