Enhancing the plausibility of law equation discovery through cross check among multiple scale-type-based models

DOI10.1080/09528130512331315837zbMath1105.68399OpenAlexW2090624226MaRDI QIDQ5696526

Yuji Niwa, Takashi Washio, Hiroshi Motoda

Publication date: 18 October 2005

Published in: Journal of Experimental & Theoretical Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/09528130512331315837

zbMATH Keywords

knowledge discoveryscientific modeling

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30)

Related Items (2)

Inductive process modeling ⋮ Principal component analysis and dimensional analysis as materials informatics tools to reduce dimensionality in materials science and engineering

Cites Work

• On the Theory of Scales of Measurement

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