| 基于CA—ANN喀斯特石漠化时空格局的动态模拟和预测 |
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| 引用本文： | 李玲,;麦雄发.基于CA—ANN喀斯特石漠化时空格局的动态模拟和预测[J].广西师院学报,2009(1):84-89. |
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| 作者姓名： | 李玲 ;麦雄发 |
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| 作者单位： | [1]广西师范学院继续教育学院,广西南宁530001; [2]广西师范学院数学与计算机系,广西南宁530001 |
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| 基金项目： | 广西师范学院基础研究基金项目（0810A004） |
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| 摘 要： | 分析了石漠化成灾综合机理，以GIS为平台，结合元胞自动机和神经网络模型，对石漠化灾害的空间格局进行动态模拟和预测．鉴于元胞自动机转换规则的难于确定的特点，利用神经网络来训练和获取石漠化转化的规则，进一步提高元胞自动机动态模拟能力．同时，由于GIS中嵌入元胞自动机，GIS的空间分析功能得到增强．
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| 关 键 词： | 石漠化 元胞自动机 神经网络 模拟 |
Dynamic Simulation and Forecast of Desertification Disaster Pattern Based on CA-ANN |
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| Institution: | LI Ling, MAI Xiong-fa(a. Continuing Education College; b Department of Mathematics and Computer Science, Guangxi Teachers Education University, Nanning 530001, China) |
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| Abstract: | Dynamic simulation and forecast to rocky is difficult because rocky desertification disaster system is a giant system with complexity. After systematic analysis of integrate reason of the rocky desertification, a dynamic simulation and forecast of spatial structure analysis for rocky desertification disaster is proposed in this paper, integrating Cellular Automata（CA） with artificial neural network （ANN）, and all of the work is based on GIS. Auto conversion regulation, defined with much difficulty are trained and got by ANN . As a result , it enhances the dynamie simulation ability of CA. On the other hand, the function of GIS in spatial analysis enhanced for CA is embedded in GIS. |
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| Keywords: | rocky desertification Cellular Automata artificial neural network simulation |
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