Improvement of Kriging interpolation with learning kernel in environmental variables study
Year of publication: |
2022
|
---|---|
Authors: | Xu, Te ; Liu, Yongxia ; Tang, Lixin ; Liu, Chang |
Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 60.2022, 4, p. 1284-1297
|
Subject: | machine learning | Estimation of distribution algorithms | Kriging | least-squares support vector machine | spatial interpolation | Theorie | Theory | Kleinste-Quadrate-Methode | Least squares method | Simulation | Algorithmus | Algorithm | Mathematische Optimierung | Mathematical programming |
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