DocumentCode :
3488544
Title :
Constructing the Model of Enterprise Financial Crisis with Principal Component Analysis and ANN
Author :
Zhang Xi-shuan
Author_Institution :
Sch. of Econ. & Manage., Henan Polytech. Univ., Jiaozuo, China
fYear :
2010
fDate :
7-9 Nov. 2010
Firstpage :
1
Lastpage :
4
Abstract :
The paper studies the application of principal component analysis and ANN (Artificial Neural Networks) for pre-warning of enterprise financial crisis, analyzes the factors of financial crisis, and constructs the model of the enterprise financial crisis with principal component analysis and ANN. It integrates simplifying of enterprise financial crisis index, dynamic learning of financial crisis knowledge by neural network and forecasting of financial crisis, and examples in financial crisis predicting are given to validate the model. The results show the feasibility and validity of the model. The research work supplies a new way for dynamic prediction for Enterprise financial crisis.
Keywords :
financial management; learning (artificial intelligence); neural nets; principal component analysis; ANN; artificial neural networks; dynamic learning; enterprise financial crisis; principal component analysis; Analytical models; Artificial neural networks; Biological system modeling; Companies; Indexes; Mathematical model; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E-Product E-Service and E-Entertainment (ICEEE), 2010 International Conference on
Conference_Location :
Henan
Print_ISBN :
978-1-4244-7159-1
Type :
conf
DOI :
10.1109/ICEEE.2010.5661464
Filename :
5661464
Link To Document :
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