Home ›
Entities
› academia
› Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation
Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation
Research article (Engineering With Computers, 2021) · cited 109× · AI/ML
Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation
Summary
Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation is a scholarly article[1].
Key Facts
Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation'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). Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation. Retrieved May 24, 2026, from https://4ort.xyz/entity/performance-evaluation-of-hybrid-gasvm-and-gwosvm-models-to-predict-earthquake-induced-liquefaction-potential-of-soil-a-
MLA“Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/performance-evaluation-of-hybrid-gasvm-and-gwosvm-models-to-predict-earthquake-induced-liquefaction-potential-of-soil-a-.
BibTeX@misc{4ortxyz_performance-evaluation-of-hybrid-gasvm-and-gwosvm-models-to-predict-earthquake-induced-liquefaction-potential-of-soil-a-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation}}, year = {2026}, url = {https://4ort.xyz/entity/performance-evaluation-of-hybrid-gasvm-and-gwosvm-models-to-predict-earthquake-induced-liquefaction-potential-of-soil-a-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation — https://4ort.xyz/entity/performance-evaluation-of-hybrid-gasvm-and-gwosvm-models-to-predict-earthquake-induced-liquefaction-potential-of-soil-a- (retrieved 2026-05-24)