收藏本站
《第36届中国控制会议论文集(B)》2017年
收藏 | 手机打开
二维码
手机客户端打开本文

Comparative Research on Prediction Model of Billet Temperature for 1700 Reheating Furnace in Tangsteel Company

Wang Xiaolin  Li Xiaohua  
【摘要】:In this paper, two modeling methods are studied for billet temperature prediction model based on the actual production data of the reheating furnace in Tangsteel 1700 line. The two methods are the neural network and the support vector machine. Two prediction models are built by the two methods respectively. And the comparative research is done via MATLAB simulation aiming at the two modeling methods. The research results show that the support vector machine method is more applicable when there are less sample data, but the neural network modeling method has the better accuracy than the other one when the sample data are enough.
【作者单位】:School of Electronic and Information Engineering,University of Science and Technology
【基金】:Major research projects funded by Tangshan iron and Steel Group
【分类号】:TG307;TP18
【正文快照】:
1 IntroductionThe billet reheating furnace is one of the most criticalequipment in steel industry production line[1].Building thebillet tapping temperature prediction model is an importantfoundation for the temperature optimization automaticcontrol of re

【相似文献】
中国期刊全文数据库 前10条
1 ;Computer Prediction on Stress Distribution During Laser Quenching[J];Journal of Shanghai Jiaotong University;2000年01期
2 李华,许禄,苏锵;Prediction of Molar Absorptivities of Color Reagents and Their Color Reactions with Yttrium by Artificial Neural Networks[J];Journal of Rare Earths;2000年04期
3 ;Prediction of Water Activities in Multicomponent Solutions of Metal Chlorides from the Thermodynamic Properties of Corresponding Binary Systems[J];Journal of Central South University of Technology(English Edition);2000年01期
4 ;Location Prediction of Blind Ore bodies in Shuijingtun Gold Mine, Zhangjiakou, China[J];Journal of Central South University of Technology(English Edition);2000年03期
5 陈建华,冯其明,卢毅屏 ,欧乐明 ,马运柱;Prediction of edge energy level at mineral-solution interface by means of zeta potential[J];Transactions of Nonferrous Metals Society of China;2000年S1期
6 ;Prediction on Enthalpy of Mixing for Cu-La and Pd-Sn Binary Systems[J];Journal of Rare Earths;2001年01期
7 李萍,单德彬,薛克敏,吕炎,许沂;Prediction of flow stress of Ti-15-3 alloy with artificial neural network[J];Transactions of Nonferrous Metals Society of China;2001年01期
8 汪凌云,郑廷顺,刘雪峰,黄光杰;Prediction of flow stresses at high temperatures with artificial neural networks[J];Transactions of Nonferrous Metals Society of China;2001年02期
9 ;Calculated Lattice Energies of Energetic Materials in a Prediction of their Heats of Fusion and Sublimation[J];含能材料;2002年01期
10 ;Ab Initio Prediction of ~(29)Si-NMR Chemical Shifts[J];Journal of Ocean University of Qingdao;2002年01期
中国重要会议论文全文数据库 前10条
1 纪志梁;;Prediction of Adverse Drug Reactions via Gene Regulation Network[A];中国化学会第27届学术年会第15分会场摘要集[C];2010年
2 程飞雄;李卫华;唐赟;;Prediction of Chemical-Protein Interactions via Weighted and Unweighted Network-Based Inference Methods[A];中国化学会第28届学术年会第14分会场摘要集[C];2012年
3 ;Link Prediction[A];第六届全国网络科学论坛暨第二届全国混沌应用研讨会论文集[C];2010年
4 ;Application of Rough Sets and Artificial Neural Network in Core Enterprise Performance Prediction[A];第二十七届中国控制会议论文集[C];2008年
5 程飞雄;黄瑾;李卫华;唐赟;;Prediction of Drug-Target Interaction and Drug Repositioning[A];2011年全国药物化学学术会议——药物的源头创新论文摘要集[C];2011年
6 程飞雄;李卫华;唐赟;;Computational Prediction of Chemical-Protein Interactions:Multitarget-QSAR versus Computational Chemogenomic Methods[A];中国化学会第28届学术年会第14分会场摘要集[C];2012年
7 ;Estimation and Prediction of Bioconcentration Factors of Nonionic Organic Compounds in Fish by iectronegativity-distance Vector[A];中国化学会第五届全国结构化学学术会议论文摘要集[C];2007年
8 ;In Silico Prediction of Spleen Tyrosine Kinase Inhibitors by Correlative Molecular Descriptors and Machine Learning Approaches[A];中国化学会第28届学术年会第14分会场摘要集[C];2012年
9 ;CO_2 Adsorptions of N-rich Metal-organic Frameworks:Theoretical Prediction and Experimental Studies[A];中国化学会第六届全国结构化学学术会议论文摘要[C];2012年
10 Gao Shuang;Dong Lei;Liao Xiaozhong;Gao Zhigang;Gao Yang;;Wind Power Prediction based on Multipositon NWP with Rough Set Theory[A];第25届中国控制与决策会议论文集[C];2013年
 快捷付款方式  订购知网充值卡  订购热线  帮助中心
  • 400-819-9993
  • 010-62791813
  • 010-62985026