Cargando…
An Improved Gray Neural Network Method to Optimize Spatial and Temporal Characteristics Analysis of Land-Use Change
In this article, the principles of the gray model and BP neural network model are analyzed, and the characteristics of land-use change and spatial and temporal distribution are studied in-depth, and at the same time, to explore the influence of land-use change on ESV, the relationship between the tw...
Autores principales: | Yang, Yang, Wang, Wei, Qiao, Jiajun, Zhang, Ershen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388289/ https://www.ncbi.nlm.nih.gov/pubmed/35990148 http://dx.doi.org/10.1155/2022/2699031 |
Ejemplares similares
-
Land Use Classification of the Deep Convolutional Neural Network Method Reducing the Loss of Spatial Features
por: Yao, Xuedong, et al.
Publicado: (2019) -
Analysis of Human Geography Space Based on Geographic Information System in the Context of Rural Revitalization
por: Zhang, Ershen, et al.
Publicado: (2022) -
Spatial–Temporal Characteristics of Illegal Land Use and Its Driving Factors in China from 2004 to 2017
por: Zhang, Hongwei, et al.
Publicado: (2021) -
Spatial–temporal evolution characteristics of land use and habitat quality in Shandong Province, China
por: Zheng, Huiling, et al.
Publicado: (2022) -
Spatial–temporal evolution of ESV and its response to land use change in the Yellow River Basin, China
por: Yang, Jie, et al.
Publicado: (2022)