Mixture ratio modeling of dynamic systems

Summary Any knowledge extraction relies (possibly implicitly) on a hypothesis about the modelled‐data dependence. The extracted knowledge ultimately serves to a decision‐making (DM). DM always faces uncertainty and this makes probabilistic modelling adequate. The inspected black‐box modeling deals w...

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Bibliographic Details

Published in:	International journal of adaptive control and signal processing Vol. 35; no. 5; pp. 660 - 675
Main Authors:	Kárný, Miroslav, Ruman, Marko
Format:	Journal Article
Language:	English
Published:	Bognor Regis Wiley Subscription Services, Inc 01-05-2021
Subjects:	Algorithms approximate Bayesian estimation black‐box dynamic model data stream processing Data transmission Dynamic models forgetting Kullback–Leibler divergence mixture model Modelling Probabilistic models Statistical analysis universal approximation
Online Access:	Get full text
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