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Bibliografie

Journal Article

Probabilistic advisory systems for data-intensive applications

Quinn A., Ettler P., Jirsa Ladislav, Nagy I., Nedoma Petr

: International Journal of Adaptive Control and Signal Processing vol.17, 2 (2003), p. 133-148

: CEZ:AV0Z1075907

: IBS1075102, GA AV ČR

: mixture od dynamic models, Bayesian inference, control design

: 10.1002/acs.743

(eng): The paper deals with mixture modelling as a tool for estimation and control of real-world, multidimensional, dynamic, non-linear processes. The experience gained under the EU project ProDaCTool, in designing and implementing advisory systems in urban traffic regulation, therapy recommendations in nuclear medicine and operator support for metal-strip rolling mill are presented.

: BC