DocumentCode :
2917790
Title :
The Appraisal of Land Capitalization Rate Based on Artificial Neural Networks Theories
Author :
Zhang, Xiekui ; Chen, Wenshan ; Li, Shuchen
Author_Institution :
Coll. of Civil Eng. & Archit., Guangxi Univ., Nanning, China
Volume :
4
fYear :
2009
fDate :
26-27 Dec. 2009
Firstpage :
528
Lastpage :
531
Abstract :
Based on appraisal methods of land capitalization rate and expert opinions of standard land price evaluation, this paper proposes for the first time an ANN model to evaluate land capitalization rate and it proves that these models have better abilities to simulate expert appraisal.
Keywords :
appraisal; land use planning; neural nets; ANN model; artificial neural networks theories; land capitalization appraisal rate; land price evaluation; simulate expert appraisal; Appraisal; Art; Artificial neural networks; Civil engineering; Educational institutions; Electronic mail; Industrial engineering; Information management; Innovation management; Investments; Artificial Neural Networks; BP model; Land appraisal; Land capitalization rate; Land economy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-0-7695-3876-1
Type :
conf
DOI :
10.1109/ICIII.2009.586
Filename :
5369456
Link To Document :
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