Application of Bayesian Network Learning Methods to Land Resource Evaluation  

作　　者：HUANG Jiejun HE Xiaorong WAN Youchua 

机构地区：[1]School of Resource and Environment Engineering,Wuhan University of Technology, Wuhan 430070, Hubei,China [2]School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, Hubei,China

出　　处：《Wuhan University Journal of Natural Sciences》2006年第4期1041-1045,共5页武汉大学学报（自然科学英文版）

基　　金：SupportedbytheNationalNaturalScienceFoun-dationofChina(60175022,40571128,40572166)

摘　　要：Bayesian network has a powerful ability/or reasoning and semantic representation, which combined with qualitative analysis and quantitative analysis, with prior knowledge and observed data, and provides an effective way to deal with prediction, classification and clustering. Firstly, this paper presented an overview of Bayesian network and its characteristics, and discussed how to learn a Bayesian net- work structure from given data, and then constructed a Bayesian network model for land resource evaluation with expert knowledge and the dataset. The experimental results based on the test dataset are that evaluation accuracy is 87.5%, and Kappa index is 0. 826. All these prove the method is feasible and efficient, and indicate that Bayesian network is a promising approach for land resource evaluation.Bayesian network has a powerful ability/or reasoning and semantic representation, which combined with qualitative analysis and quantitative analysis, with prior knowledge and observed data, and provides an effective way to deal with prediction, classification and clustering. Firstly, this paper presented an overview of Bayesian network and its characteristics, and discussed how to learn a Bayesian net- work structure from given data, and then constructed a Bayesian network model for land resource evaluation with expert knowledge and the dataset. The experimental results based on the test dataset are that evaluation accuracy is 87.5%, and Kappa index is 0. 826. All these prove the method is feasible and efficient, and indicate that Bayesian network is a promising approach for land resource evaluation.

关 键 词：Bayesian networks data mining land resource evaluation MODELS 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]