Improvement of Kriging interpolation with learning kernel in environmental variables study
Te Xu, Yongxia Liu, Lixin Tang and Chang Liu
| Year of publication: |
2022
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|---|---|
| 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
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| Subject: | machine learning | Estimation of distribution algorithms | Kriging | least-squares support vector machine | spatial interpolation | Künstliche Intelligenz | Artificial intelligence | Algorithmus | Algorithm | Mustererkennung | Pattern recognition | Schätztheorie | Estimation theory | Prognoseverfahren | Forecasting model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/00207543.2020.1856437 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013170846