Open Access
Issue |
E3S Web Conf.
Volume 248, 2021
2021 3rd International Conference on Civil Architecture and Energy Science (CAES 2021)
|
|
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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 |
- Li Wenli. Evaluation of Land Intensive Utilization in Xi’an [D]. Xi’an: Master’s Thesis of Chang’an University, 2017. [Google Scholar]
- Jiang Zongli. Introduction to Artificial Neural Networks [M]. Beijing: Higher Education Press, 2003, 1-10. [Google Scholar]
- Chang Qing, Wang Yanglin, Wu Jiansheng, et al. Artificial neural network judgment of the degree of urban land intensive use[J]. China Land Science, 2007, 21(4): 26-31. [Google Scholar]
- Li Huan, Xu Jianchun, Li Cuizhen, et al. Evaluation of Land Intensive Use in Development Zones Based on BP Artificial Neural Network——Taking Zhejiang Province as an Example [J]. Regional Research and Development, 2011, 30(4): 122-126. [Google Scholar]
- Zhu Hongmei, Zhou Ziying, Huang Chun, et al. The application of BP artificial neural network in the evaluation of urban land intensive use-Taking Changsha as an example [J]. Economic Geography, 2009, 29(5): 836-839. [Google Scholar]
- Chen Kun, Wang Changquan, Zhao Xiaorong, et al. Evaluation of soil suitability based on BP neural network——Taking the resettlement area of Gale of Xiluodu Hydropower Station an example [J]. Southwest Agricultural Journal, 2009, 22(5): 1410-1415. [Google Scholar]
- Li Huan, Xu Jianchun, Xu Zhiyuan, et al. Application Research of BP Artificial Neural Network in Land Intensive Use Evaluation——Taking Suichang Industrial Park in Zhejiang Province as an Example [J]. Chinese Agricultural Science Bulletin, 2011, 27 (6) ): 447-450. [Google Scholar]
- Chang Qing, Wang Yanglin, Wu Jiansheng, et al. The artificial neural network determination of the degree of urban land intensive use-taking Shenzhen as an example [J]. China Land Science, 2007, 21(4): 26-31. [Google Scholar]
- Lin Jian, Chen Qihui, Jin Qiongyao. How should land be used-the connotation and index evaluation of urban land intensive use [J]. China Land, 2004, (11): 5-8. [Google Scholar]
- Zhang Xuguang. Intensive use and evaluation of urban land in my country [D]. Xi’an University of Architecture and Technology, 2005: 35. [Google Scholar]
- Li Shuangcheng, Zheng Du. The application progress of artificial neural network models in geoscience research [J]. Advances in Earth Science, 2003, 18 (1): 68-78. [Google Scholar]
- He Fang, Wu Zhengxun. Summary and analysis of research on intensive use of urban land at home and abroad [J]. Land Economy, 2002, (3): 35-36. [Google Scholar]
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