|
出版专著
赵琨，非标准支持向量机，对外经济贸易大学出版社，2010年5月出版。
代表性论文（按时间先后排序）
[1] Kun Zhao(赵琨), Mingyu Zhang and Naiyang Deng，New robust unsupervised support vector machines，Journal of systems science & complexity, Vol.24, No.3, June 2011,466-476. (SCI、EI)
[2] 赵琨，孔祥纬，田英杰，带有多面体扰动的半监督v-支持向量分类机，中国管理科学，2010年2月，Vol.18,No.1，143-148。
[3] 许洪贵，赵琨，田英杰，鲁棒半监督监督v-支持向量分类机，系统科学与数学，2010年2月，Vol.30,No.2，265-273。
[4] 赵琨，库存管理教学方法探究，物流技术，2010年5月，Vol.29,No.9，153-154。
[5] Kong Xiangwei and Zhao Kun(赵琨), Study on Evaluation Index System for Enterprise Value When Merger and Acquisition, Proceedings of 2010 Summit International Marketing Science and Management Technology Conference, Sydney, Aug. 2010, 423-428.
[6] 许洪贵，赵琨，企业集团财务管理信息化构建研究，管理现代化，2010年第1期，18-20。
[7] Kun Zhao(赵琨), Yongsheng Liu and Naiyang Deng，Unsupervised and Semi-supervised Bounded C-Support Vector Machines with Polyhedral Perturbations，Proceedings of the International Conference on Information Science and Engineering, Dec.26-28，2009. (EI)
[8] Kun Zhao(赵琨), Yongsheng Liu and Naiyang Deng，Unsupervised and Semi-supervised Bounded v-Support Vector Machines with Polyhedral Perturbations, The International Conference on Computational Intelligence and Software Engineering, Dec.11-13，2009. (EI)
[9] Kun Zhao(赵琨), Yongsheng Liu and Naiyang Deng，Unsupervised and Semi-supervised Lagrangian Support Vector Machines with Polyhedral Perturbations，The 3rd International Conference on Intelligent Information Technology Application，Nov.21 - 22, 2009. (EI、ISTP)
[10] Yongsheng Liu and Kun Zhao(赵琨)，Study on Evaluation Index System for Supply Chain Risk，Proceedings of the International Conference on Information Science and Engineering Dec.26-28，2009. (EI)
[11] Kun Zhao(赵琨), Yingjie Tian and Naiyang Deng，Robust Unsupervised and Semi-supervised Bounded v- Support Vector Machines，The Sixth International Symposium on Neural Networks，ISNN 2009, Part II, LNCS 5552, Page 312–321, 2009. (EI、ISTP)
[12] Kun Zhao(赵琨), Yingjie Tian and Naiyang Deng，New Unsupervised Support Vector Machines，Proceedings of MCDM 2009, CCIS 35, Page 606–613，2009. (ISTP)
[13] Kun Zhao(赵琨), Yongsheng Liu and Naiyang Deng，Robust Unsupervised Lagrangian Support Vector Machines for Supply Chain Management，Proceedings of MCDM 2009, CCIS 35, Page 649–652，2009. (ISTP)
[14] Kong Xiangwei and Zhao Kun(赵琨). Study on Innovation Capability of Enterprise, Proceedings of 2009 International Conference on Growth of Firm and Management Innovation, Beijing, Nov. 2009, 86-91.
[15] Xu Honggui,Zhao Kun(赵琨), Study on the Innovation Capability of House Electric Appliances Industry in China,Proceedings of 2009 International Conference on Management Science and Engineering, Dec.2009，(ISTP)
[16] 赵琨，吕波，基于发展动力机制理论的商圈选址模式，管理现代化，2009年第6期，37-39。
[17] 赵琨，刘永胜，供应链风险评价研究，物流技术，2009年7月，Vol.28,No.7，192-193。
[18] Xiangwei Kong, Kun Zhao(赵琨) and Naiyang Deng，Unsupervised Support Vector Machines with Perturbations，Second International Symposium on Intelligent Information Technology Application，2008, Page 147-151. (EI、ISTP)
[19] Kun Zhao(赵琨), Yingjie Tian and Naiyang Deng. Unsupervised and Semi-Supervised Lagrangian Support Vector Machines, Proceedings of the Seventh International Conference on Computational Science Workshops, Beijing, China. May 27-30, 2007, Part III, LNCS 4489, Page 882-889 . (EI、ISTP)
[20] Kun Zhao(赵琨), Yingjie Tian and Naiyang Deng. Robust Unsupervised and Semi-supervised Bounded C-Support Vector Machines, Proceedings of the Seventh IEEE International Conference on Data Mining Workshops, Omaha NE, USA. October 28-31, 2007，Page 331-336. (EI)
[21] Kun Zhao(赵琨), Yingjie Tian and Naiyang Deng. Unsupervised and Semi-Supervised Two-class Support Vector Machines, Proceedings of the Sixth IEEE International Conference on Data Mining Workshops, Hong Kong, December 18-22, 2006, Page 813-817. (ISTP)
[22] 唐恒永,赵传立,赵琨.一类加工时间依赖资源的排序问题,系统工程, 2004,Vol.22(7),9-12.
[23] 唐恒永,赵琨.带有资源消耗的加权总完工时间单机排序问题,系统工程与电子技术,2004,Vol.26(11),1601-1603.
[24] 唐恒永,赵琨.资源有限的加权总完工时间单机排序问题,运筹与管理, 2004,Vol.13(3),48-51.
[25] 赵琨,唐恒永.加权总完工时间有限的资源约束单机排序问题,沈阳师范大学学报（自然科学版）,2004,Vol. 22(3),161-164.
[26] 赵琨,唐恒永.无空闲Flowshop带折扣加权排序问题的最优算法,沈阳师范大学学报（自然科学版）,2003，Vol. 21(4). 241-245.
|