吕伍 - 东北大学 - 信息科学与工程学院

个人简介

教育经历 2003.9-2007.7 东北大学信息科学与工程学院自动化专业学士学位 2007.9-2009.7 东北大学信息科学与工程学院控制理论与控制工程专业硕士学位 2009.9-2013.10东北大学信息科学与工程学院控制理论与控制工程专业博士学位工作经历 2013.10-2019.12东北大学信息科学与工程学院讲师 2020.01至今东北大学信息科学与工程学院副教授

研究领域

智能机器学习理论；复杂过程的建模、控制与优化方法；工业智能化与自动化技术及应用

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

1. lvwu,A Novel Process Modeling Method for Steel Sulphur Content Soft Sensing during Ladle Furnace Steel Refining[J], ISIJ INTERNATIONAL, 2019 2. hou shuai, liu Jianhui, lv wu, 1.Flotation Height Prediction under Stable and Vibration States in Air Cushion Furnace Based on Hard Division Method[J]，MATHEMATICAL PROBLEMS IN ENGINEERING, 2019 3. lv wu,Mao Zhizhong, Yuan Ping, Jia Mingxing,Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge[J], NEURAL COMPUTING & APPLICATIONS, 2014 4. lv wu, Pruned Bagging Aggregated Hybrid Prediction Models for Forecasting the Steel Temperature in Ladle Furnace[J], STEEL RESEARCH INTERATIONAL, 2014 5.Lv Wu, Mao Zhizhong, Yuan Ping, Ladle Furnace Liquid Steel Temperature Prediction Model Based on Optimally Pruned Bagging[J], Journal of Iron and Steel Research International，2012, 19(12): 21-28. 6.Lv Wu, Mao Zhizhong, Yuan Ping, Ladle furnace steel temperature prediction model based on partial linear regularization networks with sparse representation[J], Steel Research International, 2012, 83(3): 288-296. 7.Lv Wu, Mao Zhizhong, Yuan Ping, Jia Mingxing, Multi-kernel learnt partial linear regularization network and its application to predict the liquid steel temperature in ladle furnace[J], Knowledge-Based Systems, 2012, 36: 280-287.