Lu et al., 2019 - Google Patents
Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniquesLu et al., 2019
View HTML- Document ID
- 16957837087977971863
- Author
- Lu D
- Ricciuto D
- Publication year
- Publication venue
- Geoscientific Model Development
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Snippet
Improving predictive understanding of Earth system variability and change requires data– model integration. Efficient data–model integration for complex models requires surrogate modeling to reduce model evaluation time. However, building a surrogate of a large-scale …
- 238000000034 method 0 title abstract description 39
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- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computer systems based on biological models
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