Research on the Consumption Warning Model Based on BP Neural Network

被引：0

作者：

Feng, Yongqin ^{[1
]}

Yin, Yan ^{[1
]}

Xie, Zhili ^{[1
]}

Zhang, Xiaorui ^{[1
]}

机构：

[1] Defect Prod Adm Ctr AQSIQ, Beijing 100191, Peoples R China

来源：

2017 4TH ICSSH CONFERENCE ON ECONOMIC DEVELOPMENT AND MANAGEMENT (ICSSH-EDM 2017) | 2017年 / 99卷

关键词：

Defective products; Risk assessment; Consumption warning; Neural network;

D O I：

10.5729/aer.2017.99.208

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

The risk assessment index system of defective products is established through the analysis and identification of the influencing factors of defective product risk assessment. On this basis, the BP neural network method is used to explore and establish the consumption warning model based on defective product risk assessment. Later, take the electronic and electrical products as research samples to conduct the learning and inspection of BP neural network and verification of the consumption warning model based on BP neural network.

引用

页码：208 / 214

页数：7