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A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India
Research article (International Journal of Sediment Research, 2017) · cited 168× · AI/ML
A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India
Summary
A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India is a scholarly article[1].
Key Facts
A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-machine-learning-ensemble-approach-based-on-a-radial-basis-function-neural-network-and-rotation-forest-for-land
MLA“A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-machine-learning-ensemble-approach-based-on-a-radial-basis-function-neural-network-and-rotation-forest-for-land.
BibTeX@misc{4ortxyz_a-hybrid-machine-learning-ensemble-approach-based-on-a-radial-basis-function-neural-network-and-rotation-forest-for-land_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-machine-learning-ensemble-approach-based-on-a-radial-basis-function-neural-network-and-rotation-forest-for-land}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India — https://4ort.xyz/entity/a-hybrid-machine-learning-ensemble-approach-based-on-a-radial-basis-function-neural-network-and-rotation-forest-for-land (retrieved 2026-05-24)
