Home ›
Entities
› academia
› A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock
A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock
Research article (Mathematics, 2022) · cited 22× · AI/ML
A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock
Summary
A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock is a scholarly article[1].
Key Facts
A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock'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). A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-study-of-ssa-bpnn-ssa-enn-and-ssa-svr-models-for-predicting-the-thickness-of-an-excavation-damaged-zone-ar
MLA“A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-study-of-ssa-bpnn-ssa-enn-and-ssa-svr-models-for-predicting-the-thickness-of-an-excavation-damaged-zone-ar.
BibTeX@misc{4ortxyz_a-comparative-study-of-ssa-bpnn-ssa-enn-and-ssa-svr-models-for-predicting-the-thickness-of-an-excavation-damaged-zone-ar_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-study-of-ssa-bpnn-ssa-enn-and-ssa-svr-models-for-predicting-the-thickness-of-an-excavation-damaged-zone-ar}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Comparative Study of SSA-BPNN, SSA-ENN, and SSA-SVR Models for Predicting the Thickness of an Excavation Damaged Zone around the Roadway in Rock — https://4ort.xyz/entity/a-comparative-study-of-ssa-bpnn-ssa-enn-and-ssa-svr-models-for-predicting-the-thickness-of-an-excavation-damaged-zone-ar (retrieved 2026-05-24)
