Založeno v roce 2005 s podporou MŠMT ČR (projekt 1M0572)

Publikace

Identification and Prediction of Multiple Short Records by Dynamic Bayesian Mixtures.

Typ:
Konferenční příspěvek
Autoři publikace:
Název sborniku:
ICINCO 2005 - Proceedings of the Second International Conference on Informatics in Control, Automation and Robotics
Nakladatel:
INSTICC
Místo vydání:
Barcelona, Spain
Rok:
2005
Strany:
66-70
ISBN:
972-8865-31-7
Klíčová slova:
System identification, prediction, probabilistic mixtures, d
Adresa (www stránky):
Anotace:
A short data record is not suitable for proper identification of system model which is necessary for reliable data prediction. The idea consists in utilization of multiple similar short data records for identification of a dynamic Bayesian mixture. The mixture is used for prediction according to one of three methods described. Simulated and real data examples illustrate the methods.
 
Copyright 2005 DAR XHTML CSS