BP Neural Network Models for the Reclaimed Land Suitability Assessment of Temporary Land-use of Highway

Guo Dong YANG;Cheng Qian JIA

Systems Engineering - Theory & Practice ›› 2002, Vol. 22 ›› Issue (4) : 119-124.

PDF(199 KB)
PDF(199 KB)
Systems Engineering - Theory & Practice ›› 2002, Vol. 22 ›› Issue (4) : 119-124. DOI: 10.12011/1000-6788(2002)4-119
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BP Neural Network Models for the Reclaimed Land Suitability Assessment of Temporary Land-use of Highway

  • Guo Dong YANG(1),Cheng Qian JIA(2)
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Abstract

A artificial neural networks (ANN) model for the reclaimed land suitability assessment of temporary land\|use was formulated on the basis of principle of artificial neural networks. The ANN model was used to assess reclaimed land suitability ranged from Beijing to Datong and also showed some features and it's suitability of the model in the suitability assessment.

Key words

highway / BP neural network / suitability assessment model

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Guo Dong YANG , Cheng Qian JIA. BP Neural Network Models for the Reclaimed Land Suitability Assessment of Temporary Land-use of Highway. Systems Engineering - Theory & Practice, 2002, 22(4): 119-124 https://doi.org/10.12011/1000-6788(2002)4-119
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