| Issue |
E3S Web Conf.
Volume 248, 2021
2021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
|
|
|---|---|---|
| Article Number | 03076 | |
| Number of page(s) | 5 | |
| Section | Research on Civil Water Conservancy Engineering and Urban Architecture | |
| DOI | https://doi.org/10.1051/e3sconf/202124803076 | |
| Published online | 12 April 2021 | |
Application of BP Neural Network Model in the Evaluation of Urban Land Intensive Utilization
Department of Surveying and Mapping Engineering, Xi’an University of Science and Technology, Xi’an City, Shaanxi Province, China
Corresponding author: Yang XiongFei, leoyang221@gmail.com
Using BP neural network model to analyze the urban land development status of Zhengzhou City from 2013 to 2017, the evaluation grades are divided into over-utilization, intensive use, moderate utilization and extensive utilization, and from the land input intensity, land use intensity and a total of nine indicators were selected for evaluation in three aspects of land output benefits. The results show that the urban land intensive degree of Zhengzhou City during the five years from 2013 to 2017 is 0.3039, 0.5118, 0.6189, 0.6914, 0.8509, and the intensive degree is gradually increased every year. The degree of intensive use is gradually increased every year, the evaluation level has risen from extensive use to intensive use, and the intensity of land intensive use has continued to increase.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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