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计算机工程 ›› 2009, Vol. 35 ›› Issue (3): 205-207,. doi: 10.3969/j.issn.1000-3428.2009.03.069

• 人工智能及识别技术 • 上一篇    下一篇

基于GIS和神经网络的泥石流危险性评价系统

张 峰1,3,何政伟1,2,杨 斌1,张俊峰1,汪宙峰4   

  1. (1. 成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都 610059;2. 首都师范大学资源环境与地理信息系统北京市重点实验室,北京 100037;3. 山西省太原市第二外国语学校,太原 030001;4. ESRI中国(北京)有限公司成都代表处,成都 610016)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-02-05 发布日期:2009-02-05

Debris Flow Hazard Assessment System Based on GIS and Neural Network

ZHANG Feng1,3, HE Zheng-wei1,2, YANG Bin1, ZHANG Jun-feng1, WANG Zhou-feng4   

  1. (1. National Key Laboratory of Geo-hazard Prevention and Geo-environment Protection, Chengdu University of Technology, Chengdu 610059; 2. Beijing Municipal Key Laboratory for Resource Environment and Geographic Information System, Capital Normal University, Beijing 100037; 3. Taiyuan Second Foreign Language School, Taiyuan 030001; 4. Chengdu Office, ESRI China (Beijing) Co., Ltd., Chengdu 610016)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-02-05 Published:2009-02-05

摘要: 基于ArcEngine组件和.Net集成开发天山公路泥石流危险性评价系统,将GIS技术和神经网络集成应用于泥石流危险性评价中,发挥GIS强大的空间信息可视化管理和分析功能以及神经网络的非线性描述和分析功能,实现泥石流危险性评价的可视化管理,为工程决策者和管理人员提供一种强有力的决策支持方案。

关键词: BP神经网络, 灰色关联法, ArcEngine组件, 泥石流危险性

Abstract: This paper proposes a debris flow hazard assessment system of Tianshan road based on ArcEngine component tools and .Net platform. The system integrats the theoretics of neural network and GIS in the process of debris flow regional hazard evolution, plays powerful management of spatial information visualization and analysis functions, and makes it available of the depicting the nonlinear phenomena by BP neural network to the assessment processing of debris flow regional hazard, actualizes the visualization management of debris flow regional hazard evolution and provids stronger decision support scheme to both the policymakers and managers.

Key words: BP neural network, gray correlation, ArcEngine component, debris flow hazard

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