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Performance evaluation of fuzzy classification methods designed for real time application

✍ Scribed by P. Billaudel; A. Devillez; G. Villermain Lecolier


Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
874 KB
Volume
20
Category
Article
ISSN
0888-613X

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Identi"cation of continuous-time autoregressive processes from discrete-time data by replacing the di!erentiation operator by an approximation is considered. A linear regression model can then be formulated. The least-squares method and the instrumental variables method must be used with some care t