Risk Identification and Evaluation of Customs Management Based on Fuzzy Neural Network Algorithm

By using fuzzy-neural network algorithm, this paper empirically studied the customs management risk in China. Our research process is summarized as follows: firstly, we describe the situation and development trends of customs management risk; secondly, we employ fuzzy artificial neural network algor...

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Bibliographic Details
Published inApplied Mechanics and Materials Vol. 291-294; pp. 2924 - 2927
Main Author Duan, Jing Hui
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 13.02.2013
Subjects
Identification and Evaluation
Customs Risk Management
Fuzzy Neural Network (FNN)
Online AccessGet full text
ISBN9783037856345
3037856343
ISSN1660-9336
1662-7482
1662-7482
DOI10.4028/www.scientific.net/AMM.291-294.2924

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Summary:By using fuzzy-neural network algorithm, this paper empirically studied the customs management risk in China. Our research process is summarized as follows: firstly, we describe the situation and development trends of customs management risk; secondly, we employ fuzzy artificial neural network algorithm to establish a conversion mechanism model; finally, we test the effect of this model according to related customs risk management information.
Bibliography:Selected, peer reviewed papers from the 2012 International Conference on Sustainable Energy and Environmental Engineering (ICSEEE 2012), December 29-30, 2012, Guangzhou, China
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content type line 14
ISBN:9783037856345
3037856343
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.291-294.2924