Sustainable Development of Leisure Tourism Agriculture in Guangzhou Based on Data Hierarchical Modeling. Issue 3 (April 2021)

• Record Type: Journal Article
• Authors: Wang, Ning; Zhou, Jinyu; Liu, Liming
• Is Part Of: Journal of physics. Volume 1881:Issue 3(2021)
• Publication Date: 2021-04
• Subjects: Hierarchical Data Modeling -- Hierarchical Model -- Guangzhou -- Leisure Industry -- Sightseeing Agriculture -- Sustainable Development; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1881/3/032031
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Hierarchical modeling breaks down the problem of multiple input and multiple output modeling into a series of single input multiple output data modeling problems. This method can improve the efficiency and accuracy of multi-input multi-output system modeling. The model is suitable for describing a system with a complex structure and can contain more input variables, which is conducive to making full use of the existing system information. The problem of data modeling is to get this kind of mapping relationship. Usually a set of basic functions is selected for linear combination, an expression of F with a parameter is given, and then the coefficient of the parameter is determined by least square method or other methods. Urban agriculture was proposed in the process of industrialization and urbanization, with the rapid development of the urban economy, the increasingly severe environmental problems, and the deepening of the idea of sustainable development. Urban agriculture tourism is developed based on urban agriculture by developing various functions of urban agriculture. It makes the development of urban tourism more plentiful and novel, and further expands the space for agricultural development. Therefore, to find the efficient way, this paper proposes the pattern of the sustainable development of leisure tourism agriculture in Guangzhou based on data hierarchical modeling. Numerical analysis and the sample overview are provided to test he performance of the proposed methodology.