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Waterlogging risk assessment based on self-organizing map (SOM) artificial neural networks: a case study of an urban storm in Beijing
Research article (Journal of Mountain Science, 2017) · cited 18× · AI/ML
Waterlogging risk assessment based on self-organizing map (SOM) artificial neural networks: a case study of an urban storm in Beijing
Summary
Waterlogging risk assessment based on self-organizing map (SOM) artificial neural networks: a case study of an urban storm in Beijing is a scholarly article[1].
Key Facts
Waterlogging risk assessment based on self-organizing map (SOM) artificial neural networks: a case study of an urban storm in Beijing's instance of is recorded as scholarly article[2].
References
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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). Waterlogging risk assessment based on self-organizing map (SOM) artificial neural networks: a case study of an urban storm in Beijing. Retrieved May 24, 2026, from https://4ort.xyz/entity/waterlogging-risk-assessment-based-on-self-organizing-map-som-artificial-neural-networks-a-case-study-of-an-urban-storm-
MLA“Waterlogging risk assessment based on self-organizing map (SOM) artificial neural networks: a case study of an urban storm in Beijing.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/waterlogging-risk-assessment-based-on-self-organizing-map-som-artificial-neural-networks-a-case-study-of-an-urban-storm-.
BibTeX@misc{4ortxyz_waterlogging-risk-assessment-based-on-self-organizing-map-som-artificial-neural-networks-a-case-study-of-an-urban-storm-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Waterlogging risk assessment based on self-organizing map (SOM) artificial neural networks: a case study of an urban storm in Beijing}}, year = {2026}, url = {https://4ort.xyz/entity/waterlogging-risk-assessment-based-on-self-organizing-map-som-artificial-neural-networks-a-case-study-of-an-urban-storm-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Waterlogging risk assessment based on self-organizing map (SOM) artificial neural networks: a case study of an urban storm in Beijing — https://4ort.xyz/entity/waterlogging-risk-assessment-based-on-self-organizing-map-som-artificial-neural-networks-a-case-study-of-an-urban-storm- (retrieved 2026-05-24)
