Analysis on Correlation Degree of Data Search Based on BP Neural Network Algorithm

被引：0

作者：

Fan, Lihong ^{[1
]}

Shi, Guohong ^{[1
]}

机构：

[1] Jiangsu Univ, Zhenjiang 212013, Peoples R China

来源：

MECHATRONICS ENGINEERING, COMPUTING AND INFORMATION TECHNOLOGY | 2014年 / 556-562卷

关键词：

Hermite interpolation; Data Association; Supply chain; Financing risk; BP neural network; Genetic algorithm;

D O I：

10.4028/www.scientific.net/AMM.556-562.3864

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Based on the correlation principles of three Hermite interpolation, combined with the optimal data correlation search method, we establish the correlation mathematical model of financing risk for supply chain management, and design the optimal search computer simulation system of financing risk data. In order to verify the availability and reliability of the system, we compare three different algorithms of risk data search times and search time. Through calculation and comparison, the minimum number of search times is the correlation algorithm designed with only 6 times; the maximum is the BP neural network algorithm with 13 times; the minimum time of search times is the correlation algorithm with only 1.8s; the maximum is the genetic algorithm with 2.9s.

引用

页码：3864 / 3867

页数：4

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