Home ›
Entities
› academia
› Examining Feasibility of Developing a Rock Mass Classification for Hard Rock TBM Application Using Non-linear Regression, Regression Tree and Generic Programming
Examining Feasibility of Developing a Rock Mass Classification for Hard Rock TBM Application Using Non-linear Regression, Regression Tree and Generic Programming
Research article (Geotechnical and Geological Engineering, 2017) · cited 38× · AI/ML
Examining Feasibility of Developing a Rock Mass Classification for Hard Rock TBM Application Using Non-linear Regression, Regression Tree and Generic Programming
Summary
Examining Feasibility of Developing a Rock Mass Classification for Hard Rock TBM Application Using Non-linear Regression, Regression Tree and Generic Programming is a scholarly article[1].
Key Facts
Examining Feasibility of Developing a Rock Mass Classification for Hard Rock TBM Application Using Non-linear Regression, Regression Tree and Generic Programming'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). Examining Feasibility of Developing a Rock Mass Classification for Hard Rock TBM Application Using Non-linear Regression, Regression Tree and Generic Programming. Retrieved May 24, 2026, from https://4ort.xyz/entity/examining-feasibility-of-developing-a-rock-mass-classification-for-hard-rock-tbm-application-using-non-linear-regression
MLA“Examining Feasibility of Developing a Rock Mass Classification for Hard Rock TBM Application Using Non-linear Regression, Regression Tree and Generic Programming.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/examining-feasibility-of-developing-a-rock-mass-classification-for-hard-rock-tbm-application-using-non-linear-regression.
BibTeX@misc{4ortxyz_examining-feasibility-of-developing-a-rock-mass-classification-for-hard-rock-tbm-application-using-non-linear-regression_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Examining Feasibility of Developing a Rock Mass Classification for Hard Rock TBM Application Using Non-linear Regression, Regression Tree and Generic Programming}}, year = {2026}, url = {https://4ort.xyz/entity/examining-feasibility-of-developing-a-rock-mass-classification-for-hard-rock-tbm-application-using-non-linear-regression}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Examining Feasibility of Developing a Rock Mass Classification for Hard Rock TBM Application Using Non-linear Regression, Regression Tree and Generic Programming — https://4ort.xyz/entity/examining-feasibility-of-developing-a-rock-mass-classification-for-hard-rock-tbm-application-using-non-linear-regression (retrieved 2026-05-24)
