Data Mining for System Identification Support
نویسندگان
چکیده
A system identification methodology that makes use of data mining techniques to improve the reliability of identification is presented in this paper. An important aspect of this methodology is the generation of a population of candidate models. An indication of the reliability of system identification can be obtained through an examination of characteristics of the population. This paper presents data mining techniques that provide support for this examination.
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