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宝钢IF钢大生产产品性能预测

初元璋 祁鹏 张娅

北京科技大学学报2001,Vol.23Issue(1):48-51,4.
北京科技大学学报2001,Vol.23Issue(1):48-51,4.

宝钢IF钢大生产产品性能预测

Performance Forecast of IF Steel Mass-Produced in Bao Steel

初元璋 1祁鹏 1张娅1

作者信息

  • 1. 北京科技大学材料科学与工程学院,
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摘要

Abstract

Develop ANN learn-forecast system by employing BP algorithm to forecast the performance of IF steel, test and analyze the system by using data collected from BAO Steel, and compare the precision of forecasted data with that of the multivariant linear regression model. The results show that the relative errors of ANN learn-forecast system on σb,δ1 ,r and n are all less than 5.0% except that on σ0.2 is 9.0%. It is concluded that this system has a higher forecast precision than the multivariant linear regression model.

关键词

BP算法/IF钢/性能预测

分类

矿业与冶金

引用本文复制引用

初元璋,祁鹏,张娅..宝钢IF钢大生产产品性能预测[J].北京科技大学学报,2001,23(1):48-51,4.

北京科技大学学报

OA北大核心CSCD

2095-9389

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