Volume 1 Number 1 (May 2012)
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IJCCE 2012 Vol.1(1): 25-27 ISSN: 2010-3743
DOI: 10.7763/IJCCE.2012.V1.8

Land Use Efficiency Appraisal Based on Cadastral Spatial Data Mining

Huang Hai

Abstract—Land use efficiency is a quite important index for land management. And there is much information hidden in the land information which has great potential for land management. A data mining method based on fuzzy neural network for land use data mining is presented in this paper. The fuzzy neural network based on fuzzy logic and neural network and its study algorithm are introduced. Considering its features as fast speed, steady studying course, global dynamic optimization, the fuzzy neural network is applied to establish the model for data mining. The urban cadastral data mining for land use efficiency appraisal is used as an example to proves it is feasible.

Index Terms—Land use efficiency, data mining, fuzzy neural network, cadastral data.

Huang Hai is with the School of River and Ocean, ChongQing JiaoTong University, ChongQing, China (e-mail: lottery98@163.com, tel:18983250429).

Cite: Huang Hai, "Land Use Efficiency Appraisal Based on Cadastral Spatial Data Mining," International Journal of Computer and Communication Engineering vol. 1, no. 1, pp. 25-27, 2012.

General Information

ISSN: 2010-3743
Frequency: Quarterly
Editor-in-Chief: Dr. Maode Ma
Abstracting/ Indexing: EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, and Electronic Journals Library
E-mail: ijcce@iap.org
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