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基于神经网络知识发现的GIS决策支持系统
引用本文:王翰钊,李景文.基于神经网络知识发现的GIS决策支持系统[J].测绘与空间地理信息,2012(2):54-56.
作者姓名:王翰钊  李景文
作者单位:桂林理工大学广西空间信息与测绘重点实验室;桂林理工大学测绘地理信息学院
基金项目:广西自然科学基金重点项目(桂科自2011GXNSFD 018003);广西科学研究与技术开发计划项目(桂科能0992030-1,10100018-2)资助
摘    要:在分析人工神经网络结构及功能的基础上,探讨以径向基函数(RBF)神经网络作为分析推理核心的GIS决策支持方法,重点研究了RBF网络的学习算法,并在此基础上建立了可对复杂非线性数据进行知识发现的四库三功能GIS决策支持系统。

关 键 词:RBF  知识发现  DSS

Supporting System of GIS Decision Making Based on Knowledge Discovery of Neural Network
WANG Han-zhao,LI Jing-wen.Supporting System of GIS Decision Making Based on Knowledge Discovery of Neural Network[J].Geomatics & Spatial Information Technology,2012(2):54-56.
Authors:WANG Han-zhao  LI Jing-wen
Institution:1,2(1.Guangxi Key Laboratory of Spatial Information and Surveying and Mapping,Guilin University of Technology, Guilin 541004,China;2.College of Surveying and Mapping and Geo-information,Guilin University of Technology, Guilin 541004,China)
Abstract:Based on the analysis of structure and function of artificial neural network,this paper discusses the method of supporting GIS decision making using the radial basis function neural network as the core of analytical reasoning,focuses on the study of RBF network learning algorithm and move on to build up a GIS decision making supporting system with four databases and three functions which is able to perform knowledge discovery to complicated nonlinear data.
Keywords:RBF  knowledge discovery  DSS
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