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- W2386447613 abstract "The current problems of the Urban Land Classification and Evaluation Information System(UL-CEIS) are specificity functional,large subjective factors,lower intelligent degree in China.Artificial Neural Network(ANN) is an appropriate way to resolve large subjective factors and lower intelligent degree.In this paper,the B-P Neural Network(B-PNN) was used to establish the intelligent model of Land Evaluation.In the ArcGIS development platform,programmed two improved B-PNNs and developed the model of ANN Land Evaluation based on the improved B-P algorithm.And the data used to validate the model was the productions of the land classification and evaluation of San-menxia city,China in 2003a.The results indicate that the ANN can solve the problem which is more infection of subjective factors in land evaluation,and it can improve the intelligent degree of the ULCEIS in a certain extent." @default.
- W2386447613 created "2016-06-24" @default.
- W2386447613 creator A5083597859 @default.
- W2386447613 date "2010-01-01" @default.
- W2386447613 modified "2023-09-26" @default.
- W2386447613 title "Application of Improved B-P Neural Network to Urban Land Evaluation Information System" @default.
- W2386447613 hasPublicationYear "2010" @default.
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