Home ›
Entities
› academia
› Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons
Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons
Research article (Geomechanics and Tunnelling, 2019) · cited 30× · AI/ML
Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons
Summary
Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons is a scholarly article[1].
Key Facts
Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-artificial-neural-networks-for-underground-construction-chances-and-challenges-insights-from-the-bbt-expl
MLA“Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-artificial-neural-networks-for-underground-construction-chances-and-challenges-insights-from-the-bbt-expl.
BibTeX@misc{4ortxyz_application-of-artificial-neural-networks-for-underground-construction-chances-and-challenges-insights-from-the-bbt-expl_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-artificial-neural-networks-for-underground-construction-chances-and-challenges-insights-from-the-bbt-expl}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of artificial neural networks for Underground construction – Chances and challenges – Insights from the BBT exploratory tunnel Ahrental Pfons — https://4ort.xyz/entity/application-of-artificial-neural-networks-for-underground-construction-chances-and-challenges-insights-from-the-bbt-expl (retrieved 2026-05-24)
