Journal Publications

• [1]尹林子, 秦立洋, 蒋朝辉, 许雪梅.A fast parallel attribute reduction algorithm using Apache Spark[J].Knowledge-Based Systems, 2021, 212: 1-22.
• [2]尹林子, 关羽吟*, 蒋朝辉, 许雪梅.基于k-means++的高炉铁水硅含量数据优选方法[J].化工学报, 2020, 71 (8) : 3661-3670.
• [3]尹林子, 蒋朝辉*.A Fast Attribute Reduction Algorithm Based on a Positive Region Sort Ascending Decision Table. 瑞士.symmetry, 2020, 12 (1189) : 1-18.
• [4]孙玲, 尹林子.Research on prediction classification and compensation for silicon contents in blast furnace based on ridge regression[C].IOP Conference Series: Materials Science and Engineering, 2019, 768: 072062 (10 pp.）.
• [5]尹林子, 李乐*, 蒋朝辉.基于粗糙集理论与神经网络的铁水硅含量预测[J].钢铁研究学报, 2019, 31 (8) : 689-695.
• [6]yinlinzi, 李靖*, jiangchaohui, ding, xuxuemei.An efficient attribute reduction algorithm using MapReduce.Journal of Information Science, 2019: 1-17.
• [7]尹林子, 肖榕, 林艳.基于粗糙集理论构建“谱毒”关系研究何首乌特异质肝毒性物质基础[J].中国中药杂志, 2019, 44 (3) : 509-517.
• [8]尹林子, 许雪梅, 丁家峰, 蒋朝辉.An Attribute Reduction Method Based On Three-Way Decisions Model for Decision Tables[C]. 沈阳.The 30th Chinese Control and Decision Conference, 2018: 381-386.
• [9]Kehui Sun, Zhaohui Jiang, Jiafeng Ding, Xuemei Xu, Linzi Yin.A Three-way Decisions Model for Decision Tables.2017 29th Chinese Control And Decision Conference, 2017: 258-253.
• [10]桂卫华, 王晓丽, 阳春华, 尹林子.基于标记可辨识矩阵的增量式属性约简算法[J].自动化学报, 2014, 40 (3) : 397-403.
• [11]charls.x.ling, yangchunhua(阳春华)wangxiaoli, gui weihua(桂卫华), yin linzi.core set analysis in inconsistent desicion tables, information sciences[J]. canda.information sciences, 2013, 241 (12) : 138-147.
• [12]桂卫华, 王晓丽, 阳春华, 尹林子.基于属性排斥矩阵的约简方法[J].控制与决策, 2013, 28 (3) : 434-438.
• [13]阳春华桂卫华, 李勇刚, 尹林子.高可信度最小约简属性启发策略[J].自动化学报, 2012, 38 (11) : 1751-1756.
• [14]周玮康, 王晓丽, 阳春华, 尹林子.基于属性关联的约简算法[J].模式识别与人工智能, 2012, 25 (5) : 762-767.
• [15]李勇刚, 桂卫华, 阳春华, 尹林子.规则分层约简算法[J].智能系统学报, 2008, 3 (6) : 492-497.
• [16]尹林子.嵌入式DS80C320单片机软核设计[J].微计算机信息, 2007 (5) : 87-89.
• [17]尹林子.组播隧道技术及其在视频会议系统中的应用[J].科技资讯, 2006 (11) : 6-7.
• [18]李广军, 尹林子.基于VHDL的8051IP核设计[C].2004年中国通信集成电路技术与应用研讨会, 2004: 62-65.