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.%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。
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