天津大學

天津大學管理與經(jīng)濟學部市場營銷系研究生導師王秀宏介紹如下：

【教育與工作經(jīng)歷】

1999-2002天津大學管理科學與工程博士

2001.7-今天津大學管理與經(jīng)濟學部副教授

【學術兼職】

[1] 《工業(yè)工程》期刊審稿專家

【承擔科研項目】

[1] 人工神經(jīng)網(wǎng)絡研究中的兩個前沿課題，國家自然科學基金項目

[2] 基于混沌神經(jīng)網(wǎng)絡的優(yōu)化技術研究，國家自然科學基金

[3] 基于數(shù)據(jù)挖掘的神經(jīng)網(wǎng)絡模型及其融合技術研究，國家自然科學基金項目

[4] 非均勻區(qū)間與分布式符號數(shù)據(jù)的多元素分析方法，國家自然科學基金項目

[5] 濱海新區(qū)現(xiàn)代物流發(fā)展規(guī)劃調(diào)研，天津市重點調(diào)研課題

【代表學術論文】

[1] 王秀宏，王正歐，喬清理，用具有混沌特性的神經(jīng)網(wǎng)絡界任務分配問題，系統(tǒng)工程學報，2001，16(2),146-150

[2] 王秀宏，王正歐，喬清理，Job-shop 調(diào)度問題的瞬態(tài)混沌神經(jīng)網(wǎng)絡解法，系統(tǒng)工程，2001，19(3)，43-48

[3] 王秀宏，王正歐，喬清理，任務分配問題的瞬態(tài)混沌神經(jīng)網(wǎng)絡解法，天津大學學報，2001，34(5)，596-600

[4] 王秀宏，王正歐，喬清理，四色和K色圖著色問題的瞬態(tài)混沌神經(jīng)網(wǎng)絡解法，系統(tǒng)工程理論與實踐，2002，22(5)92-96

[5] Wang Xiuhong, Wang Zhengou, Application of analog neural network with chaotic oscillators to assignment problems, Proceedings of the IFCA Workshop on Compution in Economic, Financial and Engineering-Economic Systems, Oct.22-24,2001, Tianjin, P.R.C. 354-357.

[6] Xiu-Hong Wang, Zheng-Ou Wang and Qing-Li Qiao, A fast algorithm for four-coloring map problem based on chaos neural network, 8th International Conference on Neural Information processing (ICONIP2001), Nov.14-18,2001, Shanghai, China, 1434-1438 (ISTP 收錄)

[7] 王秀宏，喬清理，王正歐，基于混沌神經(jīng)網(wǎng)絡的最短路問題的優(yōu)化研究，系統(tǒng)工程理論方法應用，2001，4，326-331

[8] Wang Xiuhong, Qiao Qingli, Wang Zhenou, Chaotic neural network techniques for “0-1” programming problems, System Engineering and Electrics, 2003, 14(4)99-105.

[9] Xiu-Hong Wang, Qing-Li Qiao, and Zheng-Ou Wang, Optimizing large-scale problems based on chaotic neural network and self-organizing featue map, Proceding of 3th International Conference on Machine Learning and Cybernetics, shanghai, 2004, 2004, 3376-3378(EI檢索，ISTP檢索)

[10] Wang Xiuhong, Wang Zhengou, A quickly searching algorithm for 0-1 optimization problems based on chaotic neural network. Proceding of 7th International Conference on signal processing, Beijing, 2004, 1518-1521(EI檢索)

[11] 王秀宏，趙勝敏，利用螞蟻算法求解圖的著色問題，內(nèi)蒙古農(nóng)業(yè)大學學報，2005, 26(3),79-82

[12] 王秀宏，孫紅梅，基于SWOT分析和4R營銷理論的區(qū)域品牌研究，西北農(nóng)林科技大學學報，2007, (76), 113-116

[13] Wang Xiuhong, Qiao Qingli, Wang Zhenou, Solving optimization problems based on chaotic neural network with hysteretic activation function. Lecture Note in Computer Science, 2005, 3496(1), 745-749 (SCI檢索：BCN38，EI檢索05399382301)

[14] Wang Xiuhong, Qiao Qingli, A Quickly Searching Algorithm for Optimization Problems Based on Hysteretic Transiently Chaotic Neural Network. Lecture Notes in Computer Science 2007,4492: 72-78 (EI檢索號：075210988734，ISTP檢索號: BGJ86)

[15] Wang Xiuhong, Qiao Qingli, An Efficient Shortest Path Routing Algorithm Based on Improved Chaotic Neural Network. Proceedings of 2007 International Conference om Machine Learning and Cybernetics,vol.1,324-328(EI檢索號：080311017113，ISTP檢索號：BGZ09)

[16] Wang Xiuhong, Qiao Qingli A Transiently Chaotic Neural Network with Hysteretic Activation Function for the Shortest Path Problem, Proceedings of Fourth International conference on Neural Computation ,2008,3,559-563。(EI檢索號：20085111800448，ISTP檢索號：BJB51)

[17] Wang Xiuhong, Qiao Qingli Solving graph coloring problems based on a chaos neural network with non-monotonous activation function, Proceedings of Fifth International conference on Neural Computation , 2009, 1,414-417 (EI檢索號：20101512839946)

[18] Wang Xiuhong, Qiao Qingli, Solving the shortest path routing problems by integrating a fast searching strategy into a hysteretic neural network with transient chaos. Proceedings of 6th International conference on Neural Computation ,2010, 2, 598-602. (EI檢索號：20104613375730)

[19] Xiuhong Wang, Qingli Qiao, An efficient graph coloring algorithm by merging a rapid strategy into a transiently chaotic neural network with hysteretic output function. Artificial Intelligence and Computational Intelligence - Proceedings of Third International Conference, 2011,3, 354-361 (EI檢索號：20114214438789)

[20] Xiuhong Wang, Qingli Qiao, A New Chaotic Neural Network Algorithm for “0-1” Optimization Problems Based Non-monotonous Activation Function, Proceedings of 4th Artificial Intelligence and Computational Intelligence International Conference 2012(已收錄)