Rolling Force Prediction System of Cold Rolling Process Based on BP Neural Network

被引：3

作者：

Teng, Wei ^{[1
]}

Wang, Guangming ^{[2
]}

机构：

[1] Liaoning Univ Sci & Technol, Sch Elect & Informat Engn, Anshan, Peoples R China

[2] Ansteel Engn Technol Corp Ltd, Anshan, Peoples R China

来源：

MATERIAL DESIGN, PROCESSING AND APPLICATIONS, PARTS 1-4 | 2013年 / 690-693卷

关键词：

Cold rolling process; Neural network; BP algorithm; Prediction; MILLS;

D O I：

10.4028/www.scientific.net/AMR.690-693.2361

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper took the example of rolling force prediction in the cold rolling process to describe the establishment and application of BP neural network prediction system. This system is a prediction model for generic process. Users can select different parameters to train the network structure according to their needs, and can calculate relative rolling force parameters based on the known structure. This system can provide very valuable process information for workers and researchers

引用

页码：2361 / +

页数：2

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