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
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
CLC Number:
ZHANG Feng; HE Zheng-wei; YANG Bin; ZHANG Jun-feng; WANG Zhou-feng. Debris Flow Hazard Assessment System Based on GIS and Neural Network[J]. Computer Engineering, 2009, 35(3): 205-207,.
张 峰;何政伟;杨 斌;张俊峰;汪宙峰. 基于GIS和神经网络的泥石流危险性评价系统[J]. 计算机工程, 2009, 35(3): 205-207,.