Urban construction land suitability evaluation based on the BP neural network A case study on Hangzhou

摘要：

Urban construction land suitability evaluation is an important reference on urban construction land planning and use potential analysis. With the support of the GIS and Backpropagation (BP) neural network, the suitability of the Hangzhou urban construction land was divided into four levels: a construction land suitability zone I suitable for super high-rise and high-rise buildings, a construction land suitability zone II suitable for multi-story buildings, a construction land suitability zone III suitable for low-rising buildings, and construction land suitability zone IV not suitable for buildings. The results showed that the BP neural network can commendably capture the complex non-linear relationship between the evaluation factors and the suitability level. The research results will support the scientific decision-making for Hangzhou urban construction land planning and management and rational utility.

关键词： Back-propagation (BP) neural network:Geographic Information System (GIS):construction land:suitability evaluation:Hangzhou

作者: Chunfang Kong Lina Pei Zhijuan Lei Liqin Zhang

作者单位: School of Computer China University of Geosciences Wuhan,China Faculty of Earth Resources China University of Geosciences Wuhan,China

会议类型: 国际会议

会议名称: The 18th International Conference on Geoinformatics(第18届国际地理信息科学与技术大会 Geoinformatics 2010)

会议地点: 北京

会议语种:英文

页码: 2753-2756

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）