Current Derivative Estimation of Non-stationary Processes Based on Metrical Information; Computational Collective Intelligence; Vol. 9330 of the series Lecture Notes in Computer Science

书目详细资料
Parent link:Computational Collective Intelligence
Vol. 9330 of the series Lecture Notes in Computer Science.— 2015.— [P. 512-519]
主要作者: Kochegurova E. A. Elena Alekseevna
企业作者: Томский политехнический университет Институт кибернетики, ИК
其他作者: Gorokhova E. Ekaterina
总结:Title screen
Demand for estimation of derivatives has arisen in a range of some applied problems. One of the possible approaches to estimating derivatives is to approximate measurement data. The problem of real-time estimation of de-rivatives is investigated. A variation method of obtaining recurrent smoothing splines is proposed for estimation of derivatives. A distinguishing feature of the described method is recurrence of spline coefficients with respect to its segments and locality about measured values inside the segment. Influence of smoothing spline parameters on efficiency of such estimations is studied. Comparative analysis of experimental results is performed.
Режим доступа: по договору с организацией-держателем ресурса
语言:英语
出版: 2015
主题:
在线阅读:http://dx.doi.org/10.1007/978-3-319-24306-1_50
格式: 电子 本书章节
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=645945