The Application of BP Networks to Land Suitability Evaluation

被引:13
作者
LIU Yanfang JIAO Limin
机构
关键词
ANN; BP networks; BP algorithm; land suitability evaluation;
D O I
暂无
中图分类号
P228 [卫星大地测量与空间大地测量];
学科分类号
081601 ;
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.
引用
收藏
页码:55 / 61
页数:7
相关论文
共 9 条
  • [1] Yoon Sungchul(1997) Reliable roll force prediction in cold mill using multiple neural networks. Cho Sungzoon,Cho Yongjung. IEEE Transactions on Neural Networks .
  • [2] Pelillo M(1977) An iterative pruning algorithm for feedforward NN. Castellano G,Maria A. IEEE Transactions on Neural Networks .
  • [3] Areartifi cialneuralnetworksblackboxex. BenitezJ.M,CastroJ .L,RequenaI. IEEE ,Trans.NN . 1997
  • [4] TrainingalgorithmforFNNbasedonaclassofnonlinearproperty. WangL,ZhengDZ. ControlandDe cision . 2000
  • [5] Landtypesandlandevaluation. NiSX. . 1999
  • [6] Fuzzylogicandneuralnetworks. LiuZL,LiuYC. . 1996
  • [7] Neuralnetworksandfuzzycontrol. ZhangNY,YanPF. . 1998
  • [8] StudyonthemodelofB_Pnetworkof2_levelsforurbananti_disasterability. LiuYL. JournalofWuhanTechnicaluniversityofSurveyingandMapping . 1996
  • [9] B_Pnetworkmodelofcityenvironmentquality. LiZY. SystemsEngineering . 1995