2016年其他杂志文章
[1]P. J. Ye, X. Wang, C. Chen, Y. T. Lin, and F.-Y. Wang, "Hybrid agent modeling in population simulation: current approaches and future directions," Journal of Artificial Societies and Simulation Systems, vol. 19, no. 1, pp. 1-20, Jan. 2016. DOI: 10.18564/jasss.2849

[2]R. J. Pei, Z. Geng, Z. X. Zhang, X. Cao, and R. Wang, "A novel optimization method for lenticular 3d display based on light field decomposion," Journal of Display Technology, vol. 12, no. 7, pp. 727-735, Jan. 2016, DOI: 10.1109/JDT.2016.2517243

[3]C. D. Li, Y. S. Lv, J. Q. Yi, and G. Q. Zhang, "Pruned fast learning fuzzy approach for data-driven traffic flow prediction," Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 20, no. 7, pp. 1181-1191, Mar. 2016. DOI: 10.20965/jaciii.2016.p1181

[4]R. M. Li; C. Y. Jiang; F. H. Zhu, and X. L. Chen, "Traffic flow data forecasting based on interval type-2 fuzzy sets theory," IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 2, pp. 141-148, Apr. 2016. DOI: 10.1109/JAS.2016.7451101

[5]F.-Y. Wang, J. J. Zhang, X. H. Zheng, X. Wang, Y. Yuan, X. X. Dai, J. Zhang, and L. Q. Yang, "Where does AlphaGo go: from church-turing thesis to AlphaGo thesis and beyond," IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 2, pp. 113-120, May 2016. DOI: 10.1109/JAS.2016.7471613

[6]Q. P. Zhang, D. D. Zeng, F.-Y. Wang, R. L. Breiger, and J. A. Hendler, "Brokers or bridges? exploring structural holes in a crowdsourcing system," IEEE Computer, vol. 49, no. 6, pp. 56-64, June 2016. DOI: 10.1109/MC.2016.166

[7]F.-Y. Wang, "Control 5.0: from Newton to Merton in Popper's Cyber-Social-Physical Spaces," IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 3, pp. 233-234, July 2016. DOI: 10.1109/JAS.2016.7508796

[8]L. Li, Y. S. Lv, and F.-Y. Wang, "Traffic signal timing via deep reinforcement learning," IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 3, pp. 247-254, July 2016. DOI: 10.1109/JAS.2016.7508798

[9]L. Li, W.-L. Huang, Y. H. Liu, N.-N. Zheng, and F.-Y. Wang, "Intelligence testing for autonomous vehicles: a new approach," IEEE Transactions on Intelligent Vehicles, vol. 1, no. 2, pp. 158-166, Sept 2016. DOI: 10.1109/TIV.2016.2608003

[10]F.-Y. Wang, X. Wang, L. X. Li, and L. Li, "Steps toward parallel intelligence," IEEE/CAA Journal of Automatica Sinica, vol. 3, no. 4, pp.345-348, Oct. 2016. DOI: 10.1109/JAS.2016.7510067

[11]X. Wang, L. X. Li, Y. Yuan, P. J. Ye, and F.-Y. Wang, "ACP-based social computing and parallel intelligence: societies 5.0 and beyond," CAAI Transactions on Intelligence Technology, vol.1, no. 4, pp. 377–393, Oct. 2016. DOI: 10.1016/j.trit.2016.11.005

[12]K. Prasam, Z. Fang, and M. Tan, "A practical and intuitive calibration technique for cross-line structured light," Optik, vol. 127, no. 20, pp. 9582-9602, Oct. 2016. DOI: 10.1016/j.ijleo.2016.06.098

[13]Q. Wei, D. Liu, Y. Liu, and R. Song, "Optimal constrained self-learning battery sequential management in microgrids via adaptive dynamic programming," IEEE/CAA Journal of Automatica Sinica, vol. pp, no. 99, pp. 1-9, Dec. 2016. DOI: 10.1109/JAS.2016.7510262

[14]袁勇, 曾大军, 李娟娟, 秦蕊. 实时竞价广告研究述评. 信息系统学报, 2016, 1, 103-117.

[15]王飞跃. 复杂性与智能化:从Church-Turning Thesis到AlphaGo Thesis及其展望(1). 指挥与控制学报, 2016, 2 (1), 1-4.

[16]王飞跃. 复杂性与智能化:从Church-Turning Thesis到AlphaGo Thesis及其展望(2). 指挥与控制学报, 2016, 2 (2), 89-92.

[17]王飞跃, 杨坚, 韩双双, 杨柳青, 程翔. 基于平行系统理论的平行网络架构. 指挥与控制学报, 2016, 2(1), 71-77.

[18]刘烁, 王帅, 傅焕章, 王飞跃. 软件定义的犯罪现场分析过程及其知识自动化方案. 模式识别与人工智能, 2016, 29(10), 876-883.

[19]马晓峰, 王磊, 陈观淡. 基于混合特征学习的微博转发预测方法. 计算机应用与软件, 2016, 33(11), 249-252.

[20]王飞跃. 从AlphaGo到平行智能:启示与展望. 科技导报, 2016, 34(7), pp. 72-74.

[21]胡斌, 刘玮, 刘陶忠, 董西松, 熊刚, 胡悦祥. 一类地名大数据库和公共服务云平台的研发. 软件, 2016, 37(7), pp. 5-10.

[22]袁勇, 王飞跃. 区块链技术发展现状与展望. 自动化学报, 2016, 42(4), 481-494.

[23]段艳杰, 吕宜生, 张杰, 赵学亮, 王飞跃. 深度学习在控制领域的研究现状与展望. 自动化学报, 2016, 42(5), 643-655.

[24]奉振球, 侯增广, 边桂彬, 谢晓亮, 周小虎. 微创血管介入手术机器人的主从交互控制方法与实现. 自动化学报, 2016, 42(5), 696-705.

[25]袁勇, 王飞跃. 不完全信息议价博弈的序贯均衡分析与计算实验. 自动化学报, 2016, 42(5), 724-734.

[26]李轩, 莫红, 李双双, 王飞跃. 3D打印技术过程控制问题研究进展. 自动化学报, 2016, 42(7), 983-1003.

[27]刘明, 李国军, 郝华青, 侯增广, 刘秀玲. 基于卷积神经网络的T波形态分类. 自动化学报, 2016, 42(9), 1339-1346.

[28]王坤峰, 苟超, 王飞跃. 平行视觉:基于ACP的智能视觉计算方法. 自动化学报, 2016, 42(10), 1490-1500.

[29]罗林聪, 侯增广, 王卫群, 彭亮. 一种基于非线性振荡器的步态轨迹自适应算法. 自动化学报, 2016, 42(12), 1951-1959.



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