Correlation Modeling of Intelligent Manufacturing Industry Upgrading and International Trade based on Deep Neural Network

被引：0

作者：

Xiao, Pengwen ^{[1
]}

Li, Guoping ^{[2
]}

机构：

[1] Guangdong Univ Sci & Technol, Dongguan 523083, Peoples R China

[2] Shanghai Univ, Dept Elect Engn, Shanghai 200433, Peoples R China

来源：

PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2021) | 2021年

关键词：

Deep Neural Network; Intelligent Manufacturing; Data Analysis; Correlation Modeling; International Trade;

D O I：

10.1109/ICICT50816.2021.9358660

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Correlation modeling of intelligent manufacturing industry upgradation and international trade based on deep neural network is discussed in this paper. In sensor technology, from the process of application solutions to the intelligent manufacturing technology present in the process of integration; the information required to obtain resources that then support to develop a comprehensive research summary with the application scheme of sensor technology for a specific process to perform this a more advanced general and flexible information guidance mechanism is required. Hence, the proposed research work has developed a novel deep neural network model to formulate the aforementioned tasks. Through the numerical simulation, the overall performance is validated.

引用

页码：505 / 508

页数：4

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