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The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea
Research article (Open Geosciences, 2016) · cited 46× · AI/ML
The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea
Summary
The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea is a scholarly article[1].
Key Facts
The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea. Retrieved May 24, 2026, from https://4ort.xyz/entity/the-spatial-prediction-of-landslide-susceptibility-applying-artificial-neural-network-and-logistic-regression-models-a-c
MLA“The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/the-spatial-prediction-of-landslide-susceptibility-applying-artificial-neural-network-and-logistic-regression-models-a-c.
BibTeX@misc{4ortxyz_the-spatial-prediction-of-landslide-susceptibility-applying-artificial-neural-network-and-logistic-regression-models-a-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea}}, year = {2026}, url = {https://4ort.xyz/entity/the-spatial-prediction-of-landslide-susceptibility-applying-artificial-neural-network-and-logistic-regression-models-a-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): The spatial prediction of landslide susceptibility applying artificial neural network and logistic regression models: A case study of Inje, Korea — https://4ort.xyz/entity/the-spatial-prediction-of-landslide-susceptibility-applying-artificial-neural-network-and-logistic-regression-models-a-c (retrieved 2026-05-24)
