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1
Gradient Boosting Regression Trees for Nonlinear Delay Iden..:
, In:
2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)
,
Hartner, Raphael
;
Kozek, Martin
;
Jakubek, Stefan
. - p. 192-197 , 2022
Link:
https://doi.org/10.1109/STA56120.2022.10019045
RT T1 <cTitle>2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)</cTitle>: T1 <Title>Gradient Boosting Regression Trees for Nonlinear Delay Identification in a Polymer Extrusion Process</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10019045&Exemplar=1&LAN=DE A1 Hartner, Raphael A1 Kozek, Martin A1 Jakubek, Stefan A1 Mayer, Barbara YR 2022 SN 2573-539X K1 Monte Carlo methods K1 Finite impulse response filters K1 Control design K1 Computational modeling K1 Process control K1 Estimation K1 Boosting K1 Nonlinear Finite Impulse Response K1 Gradient Boosting Regression Tree K1 Polymer Extrusion K1 Delay Identification SP 192 OP 197 LK http://dx.doi.org/https://doi.org/10.1109/STA56120.2022.10019045 DO https://doi.org/10.1109/STA56120.2022.10019045 SF ELIB - SuUB Bremen
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