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The Application of BP Networks to Land Suitability Evaluation
作者姓名:LIUYanfang  JIAOLimin
作者单位:professor,SchoolofResourceandEnvironmentScience,WuhanUniversity,129LuoyuRoad,Wuhan430079,China
基金项目:ProjectsupportedbytheOpenFoundationofLIESMARS (No.(99) 0 30 1 )
摘    要:The back propagation (BP) model of artificial neural networks (ANN) has many good qualities comparing with ordinary methods in land suitability evaluation.Through analyzing ordinary methods‘ limitations,some sticking points of BP model used in land evaluation,such as network structure,learning algorithm,etc.,are discussed in detail,The land evaluation of Qionghai city is used as a case study.Fuzzy comprehensive assessment method was also employed in this evaluation for validating and comparing.

关 键 词:神经网络  BP算法  土地利用
收稿时间:30 April 2008

The application of BP networks to land suitability evaluation
LIUYanfang JIAOLimin.The Application of BP Networks to Land Suitability Evaluation[J].Geo-Spatial Information Science,2002,5(1):55-61.
Authors:Liu Yanfang  Jiao Limin
Institution:LIU Yanfang JIAO Limin
Abstract:The back propagation (BP) model of artificial neural networks (ANN) has many good qualities comparing with ordinary methods in land suitability evaluation.Through analyzing ordinary methods' limitations,some sticking points of BP model used in land evaluation,such as network structure,learning algorithm,etc.,are discussed in detail,The land evaluation of Qionghai city is used as a case study.Fuzzy comprehensive assessment method was also employed in this evaluation for validating and comparing.
Keywords:ANN  BP networks  BP algorithm  land suitability evaluation
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