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A framework for strategic discovery of credible neural network surrogate models under uncertainty

Research article (Computer Methods in Applied Mechanics and Engineering, 2024) · cited 11× · AI/ML
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A framework for strategic discovery of credible neural network surrogate models under uncertainty

Summary

A framework for strategic discovery of credible neural network surrogate models under uncertainty is a scholarly article[1].

Key Facts

  • A framework for strategic discovery of credible neural network surrogate models under uncertainty's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A framework for strategic discovery of credible neural network surrogate models under uncertainty. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-framework-for-strategic-discovery-of-credible-neural-network-surrogate-models-under-uncertainty
MLA “A framework for strategic discovery of credible neural network surrogate models under uncertainty.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-framework-for-strategic-discovery-of-credible-neural-network-surrogate-models-under-uncertainty.
BibTeX @misc{4ortxyz_a-framework-for-strategic-discovery-of-credible-neural-network-surrogate-models-under-uncertainty_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A framework for strategic discovery of credible neural network surrogate models under uncertainty}}, year = {2026}, url = {https://4ort.xyz/entity/a-framework-for-strategic-discovery-of-credible-neural-network-surrogate-models-under-uncertainty}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A framework for strategic discovery of credible neural network surrogate models under uncertainty — https://4ort.xyz/entity/a-framework-for-strategic-discovery-of-credible-neural-network-surrogate-models-under-uncertainty (retrieved 2026-05-24)

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