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- W1981854038 abstract "Land intensified utilization is an important part of land utilization research. Using the artificial neural network model (ANN) to evaluate a city's level of land utilization intensity, it will eliminate the negative impact of subjective factor which is used to assess and complex calculate. As a result, the assessment results would be more scientific and objectively. Based on intensity of land investment, land utilization intensity and land utilization efficiency, an intensive land conservation evaluation system is established with application of status of Lanzhou City's urban land. After training by testing data, BP artificial neural network was applied to evaluate the level of intensified utilization form 1988-2008 in Lanzhou. The results shown that the urban land utilization of Lanzhou is on the upward trend and that can be divided into three categories: low, moderate and intensive." @default.
- W1981854038 created "2016-06-24" @default.
- W1981854038 creator A5008210974 @default.
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- W1981854038 date "2011-10-30" @default.
- W1981854038 modified "2023-10-01" @default.
- W1981854038 title "Urban land intensified utilization assessment based on artificial neural networks: a case of Lanzhou City" @default.
- W1981854038 doi "https://doi.org/10.1117/12.905837" @default.
- W1981854038 hasPublicationYear "2011" @default.
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