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Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids
Research article (Computer Methods in Applied Mechanics and Engineering, 2025) · cited 24× · AI/ML
Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids
Summary
Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids is a scholarly article[1].
Key Facts
Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids. Retrieved May 24, 2026, from https://4ort.xyz/entity/gaussian-process-regression-deep-neural-network-autoencoder-for-probabilistic-surrogate-modeling-in-nonlinear-mechanics-
MLA“Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/gaussian-process-regression-deep-neural-network-autoencoder-for-probabilistic-surrogate-modeling-in-nonlinear-mechanics-.
BibTeX@misc{4ortxyz_gaussian-process-regression-deep-neural-network-autoencoder-for-probabilistic-surrogate-modeling-in-nonlinear-mechanics-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids}}, year = {2026}, url = {https://4ort.xyz/entity/gaussian-process-regression-deep-neural-network-autoencoder-for-probabilistic-surrogate-modeling-in-nonlinear-mechanics-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Gaussian process regression + deep neural network autoencoder for probabilistic surrogate modeling in nonlinear mechanics of solids — https://4ort.xyz/entity/gaussian-process-regression-deep-neural-network-autoencoder-for-probabilistic-surrogate-modeling-in-nonlinear-mechanics- (retrieved 2026-05-24)
