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

Abstract:

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.

• Periodical: Applied Mechanics and Materials (Volumes 291-294)
• Pages: 2924-2927
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.291-294.2924
• Online since: February 2013
• Authors: Jing Hui Duan
• Keywords: Customs Risk Management, Fuzzy Neural Network (FNN), Identification and Evaluation

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