DocumentCode :
2550635
Title :
An asset evaluation method based on neural network
Author :
Li, Haisheng ; Zhou, Hang ; Cai, Qiang
Author_Institution :
Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear :
2010
fDate :
16-18 April 2010
Firstpage :
582
Lastpage :
585
Abstract :
A neural network based asset evaluation method is proposed in this paper. The total amount value of remained asset can be evaluated by using the neural network prediction model, which obtained by training the disposed asset data. Examples show the effectiveness of algorithm. The method proposed has been successfully used for remaining assets evaluation in banking non-performing assets disposal.
Keywords :
financial data processing; neural nets; asset evaluation method; neural network; nonperforming assets disposal; Artificial neural networks; Banking; Computer networks; Educational institutions; Electronic mail; Multi-layer neural network; Neural networks; Neurons; Predictive models; Transfer functions; Asset disposal; Assets evaluation; Data mining; Neural Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
Type :
conf
DOI :
10.1109/ICIME.2010.5477927
Filename :
5477927
Link To Document :
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