Cargando…
Modeling of land subsidence using GIS-based artificial neural network in Yunlin County, Taiwan
In this study, the land subsidence in Yunlin County, Taiwan, was modeled using an artificial neural network (ANN). Maps of the fine-grained soil percentage, average maximum drainage path length, agricultural land use percentage, electricity consumption of wells, and accumulated land subsidence depth...
Autores principales: | Ku, Cheng-Yu, Liu, Chih-Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10008645/ https://www.ncbi.nlm.nih.gov/pubmed/36906692 http://dx.doi.org/10.1038/s41598-023-31390-5 |
Ejemplares similares
-
Evaluation of the Preservation Value and Location of Farm Ponds in Yunlin County, Taiwan
por: Chou, Wen-Wen, et al.
Publicado: (2013) -
Factors Influencing the Reputation of Assistive Technology Resources Center: An Example from Yunlin County, Taiwan
por: Chang, Tsen-Yao, et al.
Publicado: (2022) -
A GIS-Based Artificial Neural Network Model for Flood Susceptibility Assessment
por: Khoirunisa, Nanda, et al.
Publicado: (2021) -
Reconstructing missing time-varying land subsidence data using back propagation neural network with principal component analysis
por: Liu, Chih-Yu, et al.
Publicado: (2023) -
Metabolic syndrome and health-related behaviours associated with pre-oral cancerous lesions among adults aged 20–80 years in Yunlin County, Taiwan: a cross-sectional study
por: Chang, Chang-Cheng, et al.
Publicado: (2015)