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The Heisenberg modelling procedure is presented. The underlying idea is to define the basic modelling units that describe the modelling task. The associated algorithm gives a simultaneous expansion of the data matrix X and its generalised inverse X+. The procedure is applied to linear regression, time sedes analysis, Kalman filtering and nonlinear modelling. Some applications to Statistical Process Control (SPC) are described. Applications of the Heisenberg modelling procedure give new algorithms in different fields. The advantage of the procedure is that it gives stable estimates of parameters.
Czasopismo
Rocznik
Tom
Strony
755--773
Opis fizyczny
Bibliogr. 8 poz., tab., wykr.
Twórcy
autor
- Institute of Applied Construction and Production, Danish Technical University, bldg 358, 2800 Lyngby, Denmark, ah@akp.dtu.dk.
Bibliografia
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPZ1-0021-0042