DocumentCode :
498259
Title :
The Design and Application of Enterprise Comprehensive Strength Evaluation Model based on Artificial Neural Network
Author :
Zheng, Jin ; Zhong, Yubin
Author_Institution :
Math. Dept., Zhanjiang Educ. Coll., Zhanjiang, China
Volume :
1
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
531
Lastpage :
535
Abstract :
In this paper, we combine research the "Forbes" Top500 selection criteria and the indexes data of Real Estate Public Companies of China in 2005 and 2006, set up an indicators system, and proposed an enterprisepsilas comprehensive strength evaluation model based on neural network. Then we evaluate the comprehensive strength of Real Estate Public Companies of China in 2007. Finally, we compare the evaluate result with ldquoTop 10 Real Estate Public Companies of Chinardquo issue by Top 10 Comprehensive Strength of Real Estate Public Companies Evaluation Research Group. The compare result show the businesspsilas comprehensive strength evaluation model is effective and has certain value of theoretical and practical application.
Keywords :
business data processing; corporate modelling; learning (artificial intelligence); neural nets; Forbes Top500; Real Estate Public Companies of China; Top 10 Comprehensive Strength of Real Estate Public Companies Evaluation Research Group; Top 10 Real Estate Public Companies of China; artificial neural network; enterprise comprehensive strength evaluation model; index data; indicator system; selection criteria; Artificial intelligence; Artificial neural networks; Companies; Educational institutions; Fuzzy neural networks; Fuzzy systems; Intelligent networks; Intelligent systems; Mathematical model; Mathematics; Artificial Neural Network; Enterprise Comprehensive Strength Evaluation Model; Fuzzy Comprehensive Evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.467
Filename :
5209054
Link To Document :
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