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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-3280-6
DOI :
10.1109/ICSMC.1996.561308
