Urban land suitability evaluation based on BP network

Author

Wang, Yan ; Cao, Junru ; Song, Zhenbai ; Wu, Peilin

Author_Institution

Sch. of Archit. Eng., Shandong Univ. of Technol., Zibo, China

fYear

2009

fDate

12-14 Aug. 2009

Firstpage

1

Lastpage

5

Abstract

The artificial neural network (ANN) is a frontier theory of complex non-linearity scientific and artificial intelligence science. At present, the theory is seldom used for urban land suitability evaluation. It is a new method that combines geographic information system (GIS) and artificial neural network technology together. In order to evaluate urban land suitability properly, a new analysis index system is put forward in this paper. According to the index system, taking Jinan as an example, and based on the GIS platform, we have evaluated the urban land suitability using the BP neural network model. The result shows that the simulated urban land suitability of Jinan, divided into 6 types, is accurate and effective.

Keywords

backpropagation; geographic information systems; land use planning; neural nets; BP neural network; artificial neural network; geographic information system; urban land suitability evaluation; Artificial neural networks; Biological neural networks; Biological system modeling; Feedforward neural networks; Feedforward systems; Geographic Information Systems; Multi-layer neural network; Neural networks; Neurons; Pattern recognition; BP network; artificial neural network (ANN); geographic information system (GIS); suitability evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoinformatics, 2009 17th International Conference on

Conference_Location

Fairfax, VA

Print_ISBN

978-1-4244-4562-2

Electronic_ISBN

978-1-4244-4563-9

Type

conf

DOI

10.1109/GEOINFORMATICS.2009.5293390

Filename

5293390