Regional land planning based on BPNN and space mining technology
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ORIGINAL ARTICLE
Regional land planning based on BPNN and space mining technology Lei Su1 • Linhan Fu2 Received: 28 April 2020 / Accepted: 24 August 2020 Ó Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract The rationality of regional land planning needs to be evaluated through intelligent technology and continuously optimized. At present, most land planning is temporarily adjusted according to actual needs, so it does not have real-time dynamics. In order to improve the rationality of regional land planning, based on BP neural network, this study combined the spatial mining technology to construct a regional land planning model, and used BP neural network and SVM technology to establish a relationship model between the impact factor value and distance scale factor. Moreover, based on the gray system theory, this study uses the gray correlation model to measure the coupling degree between industrial structure and land use, and analyzes the correlation between various factors. In addition, the artificial neural network after learning and testing can be used for dynamic simulation calculations. The research results show that this algorithm has some practical effects. Keywords BPNN Space mining technology Regional planning Land planning Modeling
1 Introduction In the population–resource–environment system, land resources are in a fundamental position, and sustainable land use is the basic guarantee for realizing China’s sustainable development strategy [1]. Whether land resources can be used reasonably and effectively is directly related to the sustainable and coordinated development of human society and economy, as well as to ensure the sufficient food needs of an increasing population and the good environmental quality of human life. Since China’s reform and opening up, at the same time as rapid economic development, social conditions and ecological environment conditions are worrying. The contradiction between China’s economic construction and land resources has never been more serious than it is today, and the sustainable development of economic society is constrained by land & Linhan Fu [email protected] 1
School of Art and Design, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan 528402, Guangdong Province, People’s Republic of China
2
Stuart Weitzman School of Design, University of Pennsylvania, Philadelphia, PA 19104, USA
resources. Moreover, factors such as extensive land use have led to an increasing shortage of land resources in China. According to national land statistics, China’s per capita arable land in 1996 was 47% of the world’s per capita arable land. In 2000, the per capita arable land accounted for 45% of the world’s per capita arable land, and in 2003 the per capita arable land accounted for 43% of the world’s per capita arable land. According to the estimated land transaction volume, the annual loss of stateowned land revenue in China is at least 10 billion yuan. The cultivated lan
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