DocumentCode
2720975
Title
A qualitative approach to the change detection problem with different types of sampling
Author
Pomorski, D. ; Sbai, M. ; Staroswiecki, M.
Author_Institution
Univ. des Sci. et Tech. de Lille, Villeneuve d´´Ascq, France
Volume
4
fYear
1996
fDate
14-17 Oct 1996
Firstpage
2498
Abstract
In this paper, we are interested in nonstationary processes. We propose a method for change detection, based on a test of residual balance. We present some algorithms allowing one to take into account the different types of sampling procedures (simple, multiple, sequential, slippery) whose advantages and limits are underlined. The choice of the sampling type and of the size of samples is based on the calculation of wrong decision risks
Keywords
adaptive systems; knowledge based systems; learning systems; probability; statistical analysis; adaptive learning system; change detection; nonstationary processes; optimisation; probability distribution; residual balance test; sequential sampling; Adaptive systems; Artificial intelligence; Atomic measurements; Change detection algorithms; Decision trees; Entropy; Filtering; Learning systems; Sampling methods; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.561308
Filename
561308
Link To Document