Larios-Cárdenas et al., 2022 - Google Patents
A hybrid inference system for improved curvature estimation in the level-set method using machine learningLarios-Cárdenas et al., 2022
View PDF- Document ID
- 18229392991227582838
- Author
- Larios-Cárdenas L
- Gibou F
- Publication year
- Publication venue
- Journal of Computational Physics
External Links
Snippet
We present a novel hybrid strategy based on machine learning to improve curvature estimation in the level-set method. The proposed inference system couples enhanced neural networks with standard numerical schemes to compute curvature more accurately …
- 238000010801 machine learning 0 title abstract description 36
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- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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- G—PHYSICS
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