首页 | 本学科首页   官方微博 | 高级检索  
     

半无头轧制工艺下的精轧宽展预测
引用本文:姜素云,蔡庆伍,宋勇.半无头轧制工艺下的精轧宽展预测[J].河北冶金,2005(1):13-16.
作者姓名:姜素云  蔡庆伍  宋勇
作者单位:北京科技大学,高效轧制国家工程研究中心,北京,100083
摘    要:为了提高半无头轧制精轧宽展的预测精度,采用BP神经网络方法代替传统数学模型进行宽展预测,并采用改进的BP神经网络算法提高学习速度,与传统数学模型方法得到的预测精度作比较,结果表明采用此方法预测精度更优。

关 键 词:BP神经网络  半无头轧制  宽展预测
文章编号:1006-5008(2005)01-0013-03
修稿时间:2004年12月21

PREDICTION OF LATERAL SPREAD IN FINISHING STANDS OF SEMI-ENDLESS ROLLING
JIANG Su-yun,CAI Qing-wu,Song Yong.PREDICTION OF LATERAL SPREAD IN FINISHING STANDS OF SEMI-ENDLESS ROLLING[J].Hebei Metallurgy,2005(1):13-16.
Authors:JIANG Su-yun  CAI Qing-wu  Song Yong
Abstract:In order to improve the predictable precision of lateral spread in finishing stands of semi-endless rolling, the BP neural networks is used to predict the lateral spread instead of the traditional mathematical model. An improved algorithm of BP neural network is used to improve learning speed. The results show that the predictable precision of BP neural networks is better than that of traditional mathematical models.
Keywords:BP Neural Networks    Semi-endless Rolling    Prediction of Lateral Spread  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号