衣俊艳 - 北京建筑大学 - 电气与信息工程学院

个人简介

北京建筑大学电气与信息工程学院博士，副教授、硕士生导师，计算机系主任；浙江省钱江人才项目、北京市优秀人才项目获得者，曾留学日本。2009年博士毕业于日本富山大学工学部计算机智能信息处理专业；2010年破格评为副教授，2011年评为“计算机科学与技术”、“软件工程”学科硕士生导师。现为国际著名SCI索引期刊《Neurocomputing》审稿人，国家自然科学基金评阅专家。教育经历 2007/01–2009/03：日本富山大学工学部智能信息系统专攻，获得博士学位 2002/09–2005/07：山东大学，计算机科学与技术学院，获得硕士学位 1997/09–2001/06：山东大学，计算机科学与技术学院，获得学士学位留学经历 2007–2009：日本，日本富山大学工学部智能信息系统专攻，博士研究生，研究助手工作经历 2012/11–今：北京建筑大学电信学院计算机科学与技术系，副教授 2009/09–2012/11：浙江工业大学计算机学院，副教授 2007/04–2009/03：日本富山大学，工学部智能信息系统专攻，研究助手荣誉称号北京建筑大学优秀教师（2016年）

研究领域

人工智能、神经网络、组合优化、模式识别等

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

[1] “An improved elastic net method for traveling salesman problem”, Neurocomputing,?vol.72, Issues 4-6, pp.1329-1335, January 2009. (Indexed by SCI, EI, 影响因子1.634) [2] “An improved Elastic Net method with time-dependent parameters for traveling salesman problem”, International Journal of Innovative Computing, Information and Control, vol.5, no.4, pp.1089-1100, April 2009.（Indexed by SCI, 影响因子2.791) [3] “A shrinking chaotic maximum neural network for maximum clique problem”, International Journal of Innovative Computing, Information and Control, vol.5, no.5, pp.1213-1229, May 2009. (Indexed by SCI, 影响因子2.791) [4] “Transiently chaotic neural network based on switched cooling and its application to maximum clique problem”, International Journal of Innovative Computing, Information and Control, vol.5, no.6, pp.1569-1586, June 2009. (Indexed by SCI, EI, 影响因子2.791) [5] “A novel Maximum Neural Network with stochastic dynamics for N-Queens problems”, IEEJ Transactions on Electronics, Information and Systems, vol.129, no.3, pp.459-466, 2009. (Indexed by EI) [6] “A coefficient tuning method of TCNN to solve maximum clique problem”, ICIC Express Letters, vol.2, no.1, pp. 95-99, March 2008. (Index by INSPEC) [7] “Dynamics analysis and a coefficient tuning method in a chaotic neural network”, ICIC Express Letters, vol.2, no.4, pp. 323-330, 2008. (Indexed by INSPEC) [8] “A novel chaotic neural network with stochastic noise and heuristic mechanism for minimum vertex cover problem”, International Journal of Computer Science and Network Security, vol.8, no.4, pp.122-127, 2008. [9] “Dynamic characteristic of a multiple chaotic neural network and its application”, Soft Computing, vol.10, pp.1432-7643, 2012. (indexed by SCI, 影响因子1.88) [10] “Delayed chaotic neural network with annealing controlling for maximum clique problem”, Neurocomputing, vol.127, pp.114–123, 2014. (indexed by SCI, 影响因子1.634) [11] “A TCNN filter algorithm to maximum clique problem”, Neurocomputing, vol.72, Issues 4-6, pp.1312-1318, January 2009. (Indexed by SCI, EI, 影响因子1.634 ) [12] “A flexible annealing strategy for chaotic neural network to maximum clique problem”, International Journal of Innovative Computing, Information and Control, vol.4, no.4, pp.981-993, 2008. (Indexed by SCI, 影响因子2.791) [13] “An Improved Competitive Hopfield Network with Inhibitive Competitive Activation Mechanism for Maximum Clique Problem”, Neurocomputing, vol.130, pp.28-35, 2014. (indexed by SCI , 影响因子1.634) [14] “|An Improved Elastic Net with Heuristic Cloning Strategy for Traveling Salesman Problem”, ICIC Express Letters, vol.4, no.5, pp.3995-4000, October 2010. (Indexed by EI) [15] “A new stochastic dynamic adaptive local search algorithm for Elman Neural Network”, International Journal of Innovative Computing, Information and Control, vol.4, no.11, pp.2927-2939, November 2008. (Indexed by SCI, 影响因子2.791) [16] “An improved chaotic maximum neural network for maximum clique problem”, International Journal of Computer Science and Network Security, vol.7, no.2, pp.1-7, 2007.