Major Experiences |
1997-2001, Department of mathematics and computer, Shenyang Normal University, bachelor degree, applied mathematics 2001-2004, Shenyang Normal University, School of mathematics and systems science, management science and engineering, postgraduate (Master's degree), tutor: Tang Hengyong 2004-2007, China Agricultural University, School of science, operations research and management, postgraduate (Ph.D.), supervisor: Deng Naiyang Since 2008, associate professor, School of logistics, BWU |
Academic Achievements |
[1] Zhao Kun, nonstandard support vector machine, University of international business and Economics Press, May 2010. [2] (SCI, EI) Kun Zhao (Zhao Kun), Mingyu Zhang and Naiyang Deng, new robust unsupervised support vector machines, Journal of Systems Science & complexity, Vol.24, No.3, June 2011466-476 [3] Zhao Kun, Kong Xiangwei, Tian Yingjie, semi supervised v-support vector classifier with polyhedron disturbance, Chinese management science, February 2010, Vol.18, 321143-148. [4] Xu Honggui, Zhao Kun, Tian Yingjie, robust semi supervised supervised v-support vector machine, system science and mathematics, February 2010, Vol.30, no.2265-273. [5] Zhao Kun, research on teaching methods of inventory management, logistics technology, May 2010, Vol.29, no.9153-154. [6] Zhao Kun, Lu Bo, site selection model of business district based on development dynamic mechanism theory, management modernization, issue 6, 2009, 37-39. [7] Zhao Kun, Liu Yongsheng, supply chain risk assessment, logistics technology, July 2009, Vol.28, no.7192-193. [8] Xu Honggui, Zhao Kun, research on the construction of enterprise group financial management informatization, management modernization, issue 1, 2010, 18-20. [9] Zhao Kun, Xu Honggui, Zhu Xiaoyu, research on e-commerce logistics flow early warning based on support vector machine, China logistics and procurement, 2014, issue 4, 68-69 [10] Zhao Kun, Xu Honggui, Zhu Xiaoyu, research on logistics regional development in Zhejiang Province Based on support vector machine, China logistics and procurement, 2014, issue 4, 76-77 [11] Zhao Kun, Xu Honggui, Tian Yingjie, credit card loss analysis based on twin support vector machine, practice and understanding of mathematics, September 2015, 3217, 85-92 [12] Zhao Kun, Liu Jinhu, supply chain logistics cost accounting and profit distribution model under VMI mode - facing automobile parts market, logistics technology, the first half of October 2015, 213-218 |
Research Achievements |
1. Support vector machine for complex data and its application research, youth fund, BWU, June 2010 - June 2013. 2. Research on Evaluation of high-tech enterprises based on multi output support vector machine based on complex data, presided by Steel Research Gaona Co., Ltd., from January 2011 to December 2011. 3. Research on micro mechanism and prevention and control mechanism of food supply chain risk based on behavior perspective, national social science fund project, participation, June 2013 - December 2015 4. Research on supply chain benefit distribution model based on participant behavior game, NSFC project, participation, December 2011 - December 2012 5. Analysis and Research on risk factors of food circulation from the perspective of behavior, sponsored by commodity society, April 2015 to June 2016. 6. Research on the construction of quality and safety traceability system for commodity anti-counterfeiting and anti fleeing, general project of Humanities and social sciences plan of Beijing Municipal Education Commission, participated, may 2016 - December 2017 7. Urban intelligent distribution network optimization research based on big data, Beijing Philosophy and social science planning project, presided over, August 2016 - December 2017 |