NDLI: Urban land suitability evaluation based on BP network

Content Provider	IEEE Xplore Digital Library
Author	Yan Wang Junru Cao Zhenbai Song Peilin Wu
Copyright Year	2009
Description	Author affiliation: School of Business Studies, Shandong University at Weihai, China (Peilin Wu) \|\| School of Architectural Engineering, Shandong University of Technology, Zibo, China (Yan Wang; Junru Cao; Zhenbai Song)
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.
Starting Page	1
Ending Page	5
File Size	279989
Page Count	5
File Format	PDF
ISBN	9781424445622
DOI	10.1109/GEOINFORMATICS.2009.5293390
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geographic Information Systems Biological system modeling Suitability evaluation BP network Neurons Artificial neural networks Geographic information system (GIS) Artificial neural network (ANN) Pattern recognition Feedforward neural networks Biological neural networks Multi-layer neural network Neural networks Feedforward systems
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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