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Simulation-based multi-objective optimization for roll shifting strategy in hot strip mill 被引量:2
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作者 李维刚 《Journal of Central South University》 SCIE EI CAS 2013年第5期1226-1234,共9页
A simulation-based multi-objective optimization approach for roll shifting strategy in hot strip mills was presented. Firstly, the effect of roll shifting strategy on wear contour was investigated by mtmerical simulat... A simulation-based multi-objective optimization approach for roll shifting strategy in hot strip mills was presented. Firstly, the effect of roll shifting strategy on wear contour was investigated by mtmerical simulation, and two evaluation indexes including edge smoothness and body smoothness of wear contours were introduced. Secondly, the edge smoothness average and body smoothness average of all the strips in a rolling campaign were selected as objective functions, and shifting control parameters as decision variables, the multi-objective method of MODE/D as the optimizer, and then a simulation-based multi-objective optimization model for roll shifting strategy was built. The experimental result shows that MODE/D can obtain a good Pareto-optimal front, which suggests a series of alternative solutions to roll shifting strategy. Moreover, the conflicting relationship between two objectives can also be found, which indicates another advantage of multi-objective optimization. Finally, industrial test confirms the feasibility of the multi-objective approach for roll shifting strategy, and it can improve strip profile and extend same width rolling miles of a rolling campaign from 35 km to 70 km. 展开更多
关键词 hot rolling roll shifting strategy roll wear multi-objective optimization Pareto-optimal front
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基于双LSTM融合的类人机器人实时表情再现方法 被引量:4
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作者 黄忠 任福继 +1 位作者 胡敏 刘娟 《机器人》 EI CSCD 北大核心 2019年第2期137-146,共10页
为提高机器人表情再现的时空相似度和运动平滑度,结合序列到序列的深度学习模型,提出一种基于双LSTM(长短期记忆)融合的类人机器人实时表情再现方法.在离线机械建模阶段,首先构建逆向机械模型以实现面部特征序列到电机控制序列的逆向映... 为提高机器人表情再现的时空相似度和运动平滑度,结合序列到序列的深度学习模型,提出一种基于双LSTM(长短期记忆)融合的类人机器人实时表情再现方法.在离线机械建模阶段,首先构建逆向机械模型以实现面部特征序列到电机控制序列的逆向映射,并进一步提出运动趋势模型以规整电机连续运动的平滑度;然后,引入加权目标函数以实现两模型的融合和参数优化.在在线表情迁移阶段,以表演者面部特征序列作为融合模型的输入,并在最优参数下完成表演者面部特征序列到机器人控制序列的端-端翻译,从而达到机器人表情的帧-帧再现.实验结果表明:融合模型的电机控制偏差不超过8%,且表情再现的时空相似度和运动平滑度大于85%.与相关方法相比,提出的方法在控制偏差、时空相似度和运动平滑度方面均有较大提升. 展开更多
关键词 类人机器人 逆向机械模型 运动趋势模型 双LSTM融合 实时表情再现 时空相似 运动平滑度
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Smoothness for the collision local times of bifractional Brownian motions 被引量:12
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作者 SHEN GuangJun 1,2,& YAN LiTan 3 1 Department of Mathematics,East China University of Science and Technology,Shanghai 200237,China 2 Department of Mathematics,Anhui Normal University,Wuhu 241000,China 3 Department of Mathematics,Donghua University,Shanghai 201620,China 《Science China Mathematics》 SCIE 2011年第9期1859-1873,共15页
Let B^Hi,Ki ={ Bt^Hi,Ki, t ≥ 0}, i= 1, 2 be two independent bifractional Brownian motions with respective indices Hi ∈ (0, 1) and K∈ E (0, 1]. One of the main motivations of this paper is to investigate f0^Tδ... Let B^Hi,Ki ={ Bt^Hi,Ki, t ≥ 0}, i= 1, 2 be two independent bifractional Brownian motions with respective indices Hi ∈ (0, 1) and K∈ E (0, 1]. One of the main motivations of this paper is to investigate f0^Tδ(Bs^H1 ,K1 - the smoothness of the collision local time, introduced by Jiang and Wang in 2009, IT = f0^T δ(Bs^H1,K1)ds, T 〉 0, where 6 denotes the Dirac delta function. By an elementary method, we show that iT is smooth in the sense of the Meyer-Watanabe if and only if min{H-1K1, H2K2} 〈-1/3. 展开更多
关键词 bifractional Brownian motion collision local time intersection local time chaos expansion
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