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