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Reconstructing Three-dimensional geological structures by the Multiple-point statistics method coupled with a deep neural network: A case study of a metro station in Guangzhou, China
Research article (Tunnelling and Underground Space Technology, 2023) · cited 25× · AI/ML
Reconstructing Three-dimensional geological structures by the Multiple-point statistics method coupled with a deep neural network: A case study of a metro station in Guangzhou, China
Summary
Reconstructing Three-dimensional geological structures by the Multiple-point statistics method coupled with a deep neural network: A case study of a metro station in Guangzhou, China is a scholarly article[1].
Key Facts
Reconstructing Three-dimensional geological structures by the Multiple-point statistics method coupled with a deep neural network: A case study of a metro station in Guangzhou, China's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Reconstructing Three-dimensional geological structures by the Multiple-point statistics method coupled with a deep neural network: A case study of a metro station in Guangzhou, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/reconstructing-three-dimensional-geological-structures-by-the-multiple-point-statistics-method-coupled-with-a-deep-neura
MLA“Reconstructing Three-dimensional geological structures by the Multiple-point statistics method coupled with a deep neural network: A case study of a metro station in Guangzhou, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reconstructing-three-dimensional-geological-structures-by-the-multiple-point-statistics-method-coupled-with-a-deep-neura.
BibTeX@misc{4ortxyz_reconstructing-three-dimensional-geological-structures-by-the-multiple-point-statistics-method-coupled-with-a-deep-neura_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Reconstructing Three-dimensional geological structures by the Multiple-point statistics method coupled with a deep neural network: A case study of a metro station in Guangzhou, China}}, year = {2026}, url = {https://4ort.xyz/entity/reconstructing-three-dimensional-geological-structures-by-the-multiple-point-statistics-method-coupled-with-a-deep-neura}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Reconstructing Three-dimensional geological structures by the Multiple-point statistics method coupled with a deep neural network: A case study of a metro station in Guangzhou, China — https://4ort.xyz/entity/reconstructing-three-dimensional-geological-structures-by-the-multiple-point-statistics-method-coupled-with-a-deep-neura (retrieved 2026-05-24)
