Journal article
Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion
Naoki Yamane
(author)
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Tsukuba University
Kan Hatakeyama-Sato
(author)
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東京工業大学
Yuma Iwasaki
(author)
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Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group, National Institute for Materials Science
;
Yasuhiko Igarashi
(author)
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Tsukuba University
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Citation
Naoki Yamane, Kan Hatakeyama-Sato, Yuma Iwasaki, Yasuhiko Igarashi.
Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion.
Science and Technology of Advanced Materials: Methods.
2024,
4
(1),
.
https://doi.org/10.1080/27660400.2024.2420658
Description:
(abstract)ベイズ情報基準を活用した独自のSymbolic regressionアルゴリズム
Rights:
Keyword: Machine learning
Date published: 2024-12-31
Publisher: Taylor & Francis
Journal:
- Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 4 issue. 1
Funding:
Manuscript type: Publisher's version (Version of record)
MDR DOI:
First published URL: https://doi.org/10.1080/27660400.2024.2420658
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Updated at: 2024-11-14 16:30:30 +0900
Published on MDR: 2024-11-14 16:30:30 +0900
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