Equation error versus output error methods
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001 | MAP20071019231 | ||
003 | MAP | ||
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035 | $a6800012957 | ||
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100 | 1 | $0MAPA20080117887$aTomita, Yutaka | |
245 | 1 | 0 | $aEquation error versus output error methods$cYutaka Tomita, Ad A.H. Damen and Paul M.J. Van Den Hof |
520 | $aFor the identification of linear processes on the basis of ARX-models, equation error least squarres (EELS) (often indicated as the one step ahead prediction error method) is frequently used rather than output error least squares (OELS). In this paper the performance of the estimated models for one step ahead prediction and for simulation will be analysed and compared | ||
650 | 1 | 1 | $0MAPA20080550653$aErgonomía |
650 | 1 | 1 | $0MAPA20080565626$aFactor humano |
650 | 1 | 1 | $0MAPA20080600389$aComportamiento humano |
650 | 1 | 1 | $0MAPA20080562250$aError humano |
650 | 1 | 1 | $0MAPA20080616106$aCálculo de probabilidades |
650 | 1 | 1 | $0MAPA20080605865$aEcuaciones matemáticas |
700 | 1 | $0MAPA20080095833$aDamen, Ad A.H. | |
700 | 1 | $0MAPA20080302986$aHof, Paul M.J. van den | |
740 | 0 | $aErgonomics | |
773 | 0 | $tErgonomics$dLondon and Washington$gVol. 35, nº 5-6, May-June 1992 ; p. 551-564 |