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Real-time prediction of attitude and moving trajectory in shield tunneling based optimal input parameter combination using random forest deep learning method
Research article (Acta Geotechnica, 2023) · cited 30× · AI/ML
Real-time prediction of attitude and moving trajectory in shield tunneling based optimal input parameter combination using random forest deep learning method
Summary
Real-time prediction of attitude and moving trajectory in shield tunneling based optimal input parameter combination using random forest deep learning method is a scholarly article[1].
Key Facts
Real-time prediction of attitude and moving trajectory in shield tunneling based optimal input parameter combination using random forest deep learning method's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Real-time prediction of attitude and moving trajectory in shield tunneling based optimal input parameter combination using random forest deep learning method. Retrieved May 24, 2026, from https://4ort.xyz/entity/real-time-prediction-of-attitude-and-moving-trajectory-in-shield-tunneling-based-optimal-input-parameter-combination-usi
MLA“Real-time prediction of attitude and moving trajectory in shield tunneling based optimal input parameter combination using random forest deep learning method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/real-time-prediction-of-attitude-and-moving-trajectory-in-shield-tunneling-based-optimal-input-parameter-combination-usi.
BibTeX@misc{4ortxyz_real-time-prediction-of-attitude-and-moving-trajectory-in-shield-tunneling-based-optimal-input-parameter-combination-usi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Real-time prediction of attitude and moving trajectory in shield tunneling based optimal input parameter combination using random forest deep learning method}}, year = {2026}, url = {https://4ort.xyz/entity/real-time-prediction-of-attitude-and-moving-trajectory-in-shield-tunneling-based-optimal-input-parameter-combination-usi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Real-time prediction of attitude and moving trajectory in shield tunneling based optimal input parameter combination using random forest deep learning method — https://4ort.xyz/entity/real-time-prediction-of-attitude-and-moving-trajectory-in-shield-tunneling-based-optimal-input-parameter-combination-usi (retrieved 2026-05-24)
