基于神经网络与元胞自动机的城市扩展模拟  

Urban Expansion Simulation Based on Artificial Neural Network and Cellular Automata

作　　者：詹云军[1,2] 黄解军[2] 吴艳艳[2] 

机构地区：[1]中国地质大学数学地质与遥感地质研究所,武汉430074 [2]武汉理工大学资源与环境工程学院,武汉430070

出　　处：《武汉理工大学学报》2009年第1期86-90,共5页Journal of Wuhan University of Technology

基　　金：国家自然科学基金(40572166;40601076)

摘　　要：为了探究城市扩展的规律,为城市的规划做出前瞻性的预测,将神经网络与元胞自动机相结合,从不同时相遥感数据中挖掘城市扩展土地利用演变的规律,自动找到土地利用元胞的转换规则,并以该规则反演和预测城市的扩展演变。应用该方法对义乌市的扩展作了实证分析和模拟预测,与同期义乌城市发展状况基本相吻合。In order to explore the rules of urban expansion and to serve urban planning, this paper researched on the combination of cellular automata with artificial neural network, and then set up the ANN-CA mode. The mode was applied to excavate the rule of the evolution of land use from different temporal remote sensing image and to simulate urban expansion. In this paper, the application example was Yiwu city. The result of simulate was considerably coincident with simultaneous expansion in research area in Yiwu.

关 键 词：神经网络 元胞自动机 遥感 模拟 城市扩展 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]