吴微

姓名:吴微 办公室电话:0411-84708294 电子邮箱地址:wuweiw@dlut.edu.cn 主要学历及工作经历: 学历: 1974-1977 吉林大学数学系本科生 1978-1981 吉林大学数学系硕士生 1985-1987 英国牛津大学数学系博士生 1988-1990 英国巴斯大学数学系博士后 1990-1992 吉林大学数学系博士后 工作简历: 1981-1985 吉林大学数学系， 讲师 1990-1996 吉林大学数学系， 副教授 1996-1998 吉林大学数学系， 教授，博士生导师 1998-现在 大连理工大学应用数学系，教授，博士生导师 3/91-7/91 英国巴斯大学， 合作研究 1/97-6/97 美国佐治亚理工大学， 合作研究与教学 1/99-6/99 美国北达科达州立大学， 合作研究与教学 3/08-9/08 英国肯特大学, 合作研究 主要学术及社会兼职: 1. 国务院学位委员会学科评议组成员 （2003） 2．辽宁省人民政府学位委员会学科评议组成员 (2005) 3.《Information and Computational Sciences》编委 （2004） 4.《数学研究与评论》执行编委 （2002） 5.《高校计算数学学报》编委 （2003） 6.《大连理工大学学报》编委 （2005） 7. 辽宁省数学会副理事长 （2002） 8. 全国计算数学学会常务理事,副秘书长 （2002，2007） 9. 科学出版社《信息与计算科学丛书》编委 （2003） 10.高教出版社《信息与计算科学专业系列教材》编委 （2004） 11.科学出版社《大学数学选修课丛书》编委 （2009） 12.大连市政协委员 （2002） 13.大连理工大学应用数学系主任 （2002-2005） 研究领域（研究课题）: 人工神经网络计算 指导硕、博士生研究方向: 人工神经网络计算 出版著作和论文: 吴微论文论著 一．论著 1． 吴微, 解非线性分枝问题的扩展方程方法, 科学出版社, 北京, 1993. 2. R. Li, Z. Chen and W. Wu, Generalized Difference Methods for Differential Equations, (美国）Marcel Dekker Inc., New York, 2000. 3. 吴微, 神经网络计算, 高等教育出版社, 北京, 2003. (“十五”规划国家级教材) 二、主要论文 1） 智能计算： 三. 论文 1． 吴微,李荣华, 解一维二阶椭圆和抛物型微分方程的广义差分法, 数学年刊, 5A(1984)303-312. 2． 吴微, 系数与时间相关的二阶双曲方程的半离散有限元逼近, 吉大自然科学学报报, 1(1985)35-42. 3． 吴微, 与时间相关的二阶双曲方程的全离散有限元逼近, 吉大自然科学学报, 2(1985)46-54. 4． 吴微, 与时间相关的非自共轭抛物方程的全离散有限元逼近, 高校计算数学, 2(1985)113-120. 5． 倪平,吴微, 广义 Galerkin 方法的超收敛估计, 高校计算数学学报, 2(1986)154-158. 6． 吴微, 解双调和方程的混合广义差分法, 吉大自然科学学报, 3 (1986)14-22. 7． 吴微, The Calahan method for parabolic equations with time- dependent coefficients, 计算数学(英文版), 5(1987)10-20. 8． 包刚,吴微, 二阶双曲方程广义差分法的误差估计, 吉大自然科学学报, 2(1987)33-42. 9． 吴微, 非线性抛物方程广义差分法的误差估计, 计算数学(中文版), 2(1987)119-132. 10．吴微, 非线性转折点计算中的矩阵分裂技巧, 高校计算数学学报, 4 (1990)355-369. 11．P.J. Aston, A. Spence and W. WU, Bifurcation to rotating waves in equations with O(2)-symmetry, SIAM J. Apll. Math., 52(1992)792-809. SCI 12．P.J. Aston, A.Spence and W.Wu, Numerical investigation of the bifurcation from travelling waves to modulated travelling waves, Inter. Ser. Numer. Math., 104(1992)35-47. 13．Wei WU, Nondegeneracy of Hopf points emanating from a Z_2 symmetry- breaking Takens-Bogdanov point, Appl. Math. Lett., 6(1993)9-12. SCI 14．吴微,吴柏生,李荣华, Singular points near a double fold point in Z_2-symmetric nonlinear equations, 高校计算数学学报(英文版), 2(1993)101-115. 15．A. Spence, W. Wu, D. Roose and B. De Dier, Bifurcation analysis of double Takens- Bogdanov points of nonlinear equations with $Z_2$- symmetry, Inter. J. Bifurcation and Chaos, 3(1993)1141-1153. 16．苏毅,吴微, 从双重折叠点分枝出的 Hopf 点的非退化性和稳定性, 吉大自然科学学报, 3(1993)1-8. 17．吴微, Galerkin methods for elliptic and parabolic convection- diffusion problems, 东北数学, 9(4)(1993)525-538. 18．吴微, A Petrov-Galerkin method based on symmetrization for convection-defusion problems, 东北数学, 10(1)(1994)59-70. 19．W. Wu and A. Spence, A pitchfork/fold interaction in nonlinear equations with Z2-symmetry, 东北数学, 10(2)(1994)174-180. 20．W. Wu, Y. Zou and M. Huang, Heteroclinic cycles emanating from local bifurcations, manuscripta mathematika, 85(1994)381-392. SCI 21．W. Wu, P.J. Aston and A. Spence, Rotating waves from Hopf bifurcations in equations with O(2)- symmetry, SIAM J. Sci. Comput., 15(3)(1994)495-510. SCI 22．W. Wu, A. Spence and K.A. Cliffe, Steady-state/Hopf interaction at a symmetry-breaking Takens- Bogdanove point, IMA J. Numer. Anal., 14(1994)137-160. SCI 23．吴微, Stability of travelling waves, 数学研究与评论, 14(3)(1994)1-7. 24．苏毅,吴微, Singular points near an X0-breaking double singular fold point in Z2-symmetric nonlinear equations, 东北数学, 10(3)(1994) 385-395. 25．W. Wu and Y. Su, Stability of periodic solutions generated by Hopf points emanating from a Z_2-symmetry-breaking Takens-Bogdanov point, 东北数学, 11(2)(1995)157-168. 26．吴微, Period-doubling bifurcation of travelling waves, 非线性动力学学报, 2(增刊)(1995)48-52. 27. 吴微，Bifurcation from steady-state to global dynamics, Bull. Allahabad Math. Soc., 10/11(1995/96)85-94. 28．邹永魁,吴微, Petrov-Galerkin method with linear trial and quadratic test spaces for parabolic convection-diffusion problems, 东北数学, 12(2)(1996)207-216. 29．W.Wu, On nondegeneracy of Hopf bifurcation points emanating from TB point. Nonlinear Analysis T.M.A., 26(6)(1996) 1161-1168. SCI 30．P.J. Aston, A. Spence and W. Wu, Hopf bifurcation near a double singular point, J. Computational and Applied Mathemetics, 80(1997)277-297. SCI 31．W. Wu and F.Y. Meng, Mode interaction at a triple zero point of O(2)-symmetric nonlinear systems with two parameters, 东北数学, 16(1)(2000)10-20. 32. 吴微，赵卫海，广义逆矩阵及其在神经网络计算中的应用， 大连理工大学学报，40(S1)(2000)9-11。 33. 吴微，陈维强，刘波，用BP神经网络预测股票市场涨跌， 大连理工大学学报，41(1)(2001)9-15。 34. 李正学，吴微，张宏伟，Convergence of on-line gradient methods for two-layer feedforward neural networks， 数学研究与评论， 21(2)(2001)219-228。 35．孔俊，吴微，赵卫海，识别数学符号的神经网络方法， 吉大自然科学学报, 3(2001)11-16. 36. 吴微，陈维强，用于股市预测的BP算法的一些改进， 大连理工大学学报，41(5)(2001)518-522。 37. 孔俊，吴微，Online gradient methods with a punishing term for nureul networks, 东北数学, 17(3)(2001)371-378. 38. Wei Wu and Yi Su, Hopf bifurcation near a singular point with Z2- symmetry and X0-breaking, J. Computational and Applied Mathematics, 144(1-2)(2002)335-347. SCI 39. Wei Wu and Yuesheng Xu, Deterministic convergence of an online gradient method for neural networks, J. Computational and Applied Mathematics, 144(1-2)(2002)335-347 SCI 40. Wei Wu, Guori Feng and Xin Li, Training multiple perceptrons via minimization of sum of ridge functions, Advances in Computational Mathematics, 17(2002)331-347. SCI 41．Zhengxue Li, Wei Wu and Weidong Gao, Predictions of stock market by BP neural networks with technical indexes as input, J. Mathematical Research and Exposition, 23(2003)83-97. 42．郭立宾，吴微，二维图像中交叉点的神经网络识别， 大连理工大学学报，43(2003)548-550。 43．Wei Wu and Zhiqiong Shao, Convergence of online gradient methods for continuous perceptrons with linearly separable training patterns, Applied Mathematics Letters, 16(2003)999-1002. SCI 44．Zhengxue Li, Wei Wu and Yuelong Tian, Convergence of an online gradient method for feedforward neural networks with stochastic inputs， Journal of Computational and Applied Mathematics, 163(1)(2004) 165-176. SCI 45．张玉林，吴微，用BP神经网络捕捉股市黑马初探， 运筹与管理，13(2)(12004)123-130. 46. Lijun Liu and Wei Wu, Finite convergence of MR1 neural networks for linearly separable training patterns, Lecture Notes in Computer Science, 3147(2004)282-295. SCI 47. Wei Wu et al., Recent developments in on convergence of online gradient methods for neural network training, Lecture Notes in Computer Science, 3147(2004)235-238. SCI 48. Liqing Zhang and Wei Wu, Online gradient methods with a penalty term for neural networks with large training set, J. of Nonlinear Dynamics in Science and Technology, 11(2004)53-58. 49. Hongmei Shao, Wei Wu and Feng Li, Convergence of online gradient method with a penalty term for feedforward neural networks with stochastic inputs, Numerical Mathematics, A journal Chinese Universities, 14(2004)87-96. 50. Wu, W., Feng, G., Li, Z. and Xu, Y., Deterministic Convergence of an Online Gradient Method for BP Neural Networks, IEEE Transactions on Neural Networks, 16(2005)533- 540. SCI 51. Zhengxue Li, Wei Wu, Guorui Feng and Huifang Lu, Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs, Lecture Notes in Computer Science, 3610(2005)720-729. Ei Compedex (05439427415), SCI (BDA22) 52. Yang, J; Wu, W; Shao, ZQ, A new training algorithm for a fuzzy perceptron and its convergence, Lecture Notes in Computer Science, 3496(2005) 609-614. Ei Compendex (05399382279), SCI (BCN38) 53. 曲笛，吴微，邵红梅，带动量项的线性输出BP网络收敛性, 高校计算数学学 报，27（2005）增刊，368—372. 54. Naimin Zhang; Wei Wu; Gaofeng Zheng, Convergence of gradient method with momentum for two-Layer feedforward neural networks, IEEE Transactions on Neural Networks, vol.17, no.2, 2006, 522- 525. Ei Compendex (06129763934), SCI (026SD) 55. Wei Wu, Feng Li, Jun Kong, Lichang Hou, and Bingdui Zhu，A Bottom- Up OCR System for Mathematical Formulas Recognition，D.-S. Huang, K. Li, and G.W. Irwin (Eds.): ICIC 2006, Lecture Notes in Computer Science, 4113（2006）274–279, Ei Compendex（064210172616），SCI 56. 吴微，侯利昌， 基于LL（1）文法的印刷体数学公式结构分析方法， 大连理 工大学学报，46（2006）454-459 57. SHAO Zhiqiong, WU Wei, YANG Jie, Finite convergence of On-line BP neural networks with linearly separable training patterns, 数学研究 与评论，26（2006）451-456 58. Wei Wu, Hongmei Shao, and Zhengxue Li，Convergence of Batch BP Algorithm with Penalty for FNN Training， I. King et al. (Eds.): ICONIP 2006, Part I, Lecture Notes in Computer Science 4232, 562– 569, 2006. SCI (BFG80) 59. Lichang Hou, Wei Wu, Bingdui Zhu, Feng Li, A Segmentation Method for Merged characters Using Self-Organizing Map Neural Networks, Journal of Information and Computational Science, 3:2(2006)219- 226. EI Compendex 61. Hongmei Shao, Wei Wu, Lijun Liu， Convergence and Monotonicity of an Online Gradient Method with Penalty for Neural Networks， WSEAS TRANSACTIONS on MATHEMATICS，6:3（2007）469-476. EI Compendex 62. 陈兵，吴微，基于SOFM和最短路径法的粘连字符分割，仪器仪表学报, 2006 年第6期增刊，2090-2106 63. Lijun Liu and Wei Wu，Dynamical System for Computing Largest Generalized Eigenvalue，J. Wang et al. (Eds.): ISNN 2006, Lecture Notes in Computer Science 3971, 399-404, 2006. SCI 64. Huifang Lu, Wei Wu, Chao Zhang, Yanxiong, Convergence of Gradient Descent Algorithm for Pi-Sigma Neural Networks, Journal of information and Computational Science, 3:3(2006)503-509. EI Compendex 65. Hongmei Shao, Wei Wu, Lijun Liu， Convergence and Monotonicity of an Online Gradient Method with Penalty for Neural Networks， WSEAS TRANSACTIONS on MATHEMATICS，6:3（2007）469-476. EI Compendex（071110477500） 66. Wei Wu, Yan Xiong, Xidai Kang, Chao Zhang, Convergence of Asynchronous Batch Gradient Method for Pi-Sigma Neural Networks, Dynamics of Continuous, Discrete and Impulsive Systems, Vol. 14(Sl) (2007)95-99. SCI 67. Dongpo Xu, Zhengxue Li, Wei Wu, Xiaoshuai Ding, and Di Qu， Convergence of Gradient Descent Algorithm for a Recurrent Neuron， Lecture Notes in Computer Science LNCS 4493, pp. 117-122. EI 68. Jinling Long, Wei Wu_, and Dong Nan， Uniform Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural Networks， Lecture Notes in Computer Science LNCS 4491, pp. 1110–1116, 2007. EI 69. Hongmei Shao, Wei Wu, Feng Li and Gaofeng Zheng, Convergence of batch gradient algorithm for feedforward neural network training, Journal of Information and Computational Science, 4:1(2007)251- 255. EI 70. Fengqi Zhou and Wei Wu, Representation of BP neural networks for classification problems, Journal of Information and Computational Science, 4:1(2007)413-420. EI 71. Yan Xiong, Wei Wu, Xidai Kang and Chao Zhang, Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight update, Neural Computation，19(2007)3356-3368. SCI 72. Huifang Lu, Wei Wu, Chao Zhang and Yan Xiong, Convergence of Gradient Descent Algorithm for Pi-Sigma Neural Networks, 数学研究与 评论. 73. 鲁慧芳，吴微，李正学，带惩罚项与随机输入的BP神经网络在线梯度学习算 法的收敛性，数学研究与评论，27(2007)643-653. 74. Hongmei Shao, Wei Wu and Wenbin Liu, Convergence of BP algorithm for training MLP with linear output, Numerical Mathematics, A Journal of Chinese Universities (English Series), 16(2007)193-202. 75. Jie Yang and Wei Wu, Is Bias Dispensable for Fuzzy Neural Networks? Fuzzy Sets and Systems, 158(2007)2757–2762. SCI 76. Jinling Long，Wei Wu，Dong Nan，Approximation Capabilities of Sum- of-Product and Sigma-Pi-Sigma Neural Networks, International Journal of Neural Systems, 17(5) (2007) 419–424. SCI 77 C. Zhang, W. Wu, Y. Xiong, Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks, Neural Processing Letters, 26(3)(2007)177-189. SCI 78 Yan XIONG, Wei WU, Huifang LU, Chao ZHANG，Convergence of Online Gradient Method for Pi-sigma Neural Networks, Journal of Computational Information Systems，3:6(2007)2345-2352 EI 79 Wei Wu, Naimin Zhang, Zhengxue Li, Long Li and Yan Liu, Convergence of gradient method with momentum for back-propagation neural networks, Journal of Computational Mathematics, 26:4(2008) 613-623. SCI 80 Dong NAN，Wei WU，Jin Ling LONG，Yu Mei MA and Lin Jun SUN, Lp Approximation Capability of RBF Neural Networks, Acta Mathematica Sinica, English Series, 24:9( 2008)1533–1540. SCI 81 Dongpo Xu, Zhengxue Li and Wei Wu, Convergence of approximated gradient method for Elman network, Neural Networks World, 3(2008) 171-180. SCI 82 Wei Wu, Dongpo Xu and Zhengxue Li, Convergence of gradient method for Elman networks, Applied Mathematics and Mechanics, -English Edition, 29:9(2008)1231-1238. 吴微, 徐东坡, 李正学, Elman网络梯度学习法的收敛性,应用数学和力学(中 文版)，29:9(2008)1117-1123. SCI 83 C. Zhang,W.Wu, X.H. Chen,Y.Xiong, Convergence of BP algorithm for product unit neural networks with exponential weights, Neurocomputing, 72 (2008) 513–520 SCI 83 Wei Wu, Dong Nan, Jin-ling Long, Yu-mei Ma, A comment on ``Relaxed conditions for radial-basis function networks to be universal approximators'', Neural Networks, 21 (2008) 1464-1465 SCI 84 张会生，吴微，一种具有自适应动量因子的BP算法，大连海事大学学报，34 (4)(2008) 45-47 EI 85 Long Li, Jie Yang, Yan Liu and Wei Wu, Finite convergence of a fuzzy rule for a fuzzy perceptron, NEURAL NETWORK WORLD, 18 (6) (2008)459-467 SCI 86 李峰，吴微，英文科技文档识别中数学公式的定位, 大连理工大学学报, 49 (1)(2009) 139-143 三. 国际会议论文集 1． Wei Wu, E. Suli and K.W. Morton, Optimal order estimates for linear Galerkin methods for convection- diffusion problems, MAFLAP 87, London, Academic Press, 1988. 2． A. Spence, P.J. Aston and W. Wu, Bifurcation and stability analysis in nonlinear equations using symmetry-breaking in extended systems, Numerical Analysis, Dundee, 89, eds. D.F Griffiths at. al., Longman, 1990, 243-256. 3． W. Wu, K.A. Cliffe and A. Spence, Steady-state/steady-state mode interaction in nonlinear equations with Z2-symmetry, Continuation and Bifurcation: Numerical Techniques and Applications, eds. D. Roose, De D. Dier and A. Spence, Leuvon, Belgium, 89. Kluwer Academic Press, 1990, Series C: Mathematical and Physical Science, Vol. 313., 89-104. 4． Wei Wu and A. Spence, Hopf points emanating from a double singular fold point, 工程与科学中的非线性问题国际会议文集, 肖竹铁,胡向忱主编, 科学出版 社, 北京,1992, 267-269. 5． Wei Wu, Mode interaction at a triple zero point of O(2)-symmetric nonlinear systems with two parameters, World Congress of Nonlinear Analysts'92, Florida, ed. V. Lakshmikantham, Walter de ruyter, Berlin, New York, 1996,2011-2022. 6． Wei Wu, Heteroclinic and Hopf points bifurcating from local singular points, Bifurcation Theory and Its Numerical Analysis, eds. Z. Chen, S. Chow, K. LI, Xi’an, China, 1998, Springer, 194-202. 7. Wei Wu，Convergence of an online gradient method, Abstracts of short communications and poster sessions, International Congress of Mathematicians, Beijing, 2002, Higher Education Press, p353. 8. Wei Wu and Yuesheng Xu, Convergence of online gradient method for neural networks, in Numeriacal Liner Algebra and Optimization, edited by Ya-xiang Yuan, (Proceedings of 2001’ International Conference on Numerical Optimization and Numerical Algebra, Dunhuang, China, ) Science Press, Beijing/New York, 2003, 52-67, (Invited lecture) 9. Hongmei Shao, Wei Wu, Feng Li and Gaofeng Zheng, Convergence of gradient algorithm for feedforward neural network training, The Proceedings of International symposium on Computing and Information (ISC&I 2004), Edited by Renhong Wang and Xiaonan Luo, CIC Media Ltd., 2004, pp. 627-631 10. Wei Wu, Hongmei Shao and Di Qu, Strong convergence for gradient methods for BP networks training, Proceedings of 2005 International Conference on Neural Networks & Brains (ICNN&B’05), Edited by Mingsheng Zhao and Zhongzhi Shi, Beijing, China, 2005, IEEE Press. pp. 332-334. 11. 李峰, 吴微, 版面分析中基于可并行化局部操作序列的局部极大成分标记, 第六届全球智能控制与自动化大会 (WCICA’06), 大连, 中国, 2006, IEEE Press. pp. 10512-10516. (ISBN:1-4244-0331-6) EI 12. HONGMEI SHAO, WEI WU，LIJUN LIU，Convergence of an Online Gradient Algorithm with Penalty for Two-layer Neural Networks，Proceedings of the 10th WSEAS International Conference on APPLIED MATHEMATICS, Dallas, Texas, USA, November 1-3, 2006. Edited by G. R. Dattatreya, WSEAS, (ISSN: 1790-5117, ISBN: 960-8457-55-6) 13. Wei Wu, Liqing Zhang and Naimin Zhang, Online gradient method with a penalty term for BP neural networks, in Proceedings of the Seventh China-Japan Seminar on Numerical Mathematics, Zhangjiajie, 2005, Edited by Zhong-Ci Shi and Hisashi Okamoto, pp.179-192, Science Press, Beijing, 2006. 14 Hongmei Shao, Wei Wu, Convergence of BP Algorithm with Variable Learning Rates for FNN Training, micai, IEEE Computer Society Press, pp. 245-252, Fifth Mexican International Conference on Artificial Intelligence (MICAI'06), 2006. Ei 15 Dongpo Xu, Zhengxue Li, Wei Wu, Xiaoshui Ding, Di Qu, Convergence of gradient descent algorithm for diagonal Recurrent neural networks, Pre-proceedings of the Second International Conference on Bio-Inspired Computing: Theories and Applications, Zhengzhou, Guangzhao Cui, Linqiang Pan and Yanfeng Wang eds., 2007, Zhengzhou, Publishing House of Electronics Industry, Beijing. pp. 32-34 16 Wei Wu, Dong Nan, Zhengxue Li, Jingling Long, Junfang Wang, Approximation capability to compact sets of functions and operators by feedforward neural networks, Pre-proceedings of the Second International Conference on Bio-Inspired Computing: Theories and Applications, Zhengzhou, Guangzhao Cui, Linqiang Pan and Yanfeng Wang eds., 2007, Zhengzhou, Publishing House of Electronics Industry, Beijing. pp. 43-45 17 Wei Wu, Dong Nan, Zhengxue Li, and Jinling Long, Approximation to a Compact Set of Functions by Feedforward Neural Networks， Proceedings to 2007 International joint Conference on Neural Networks, Orlando, IEEE Computer Society Press, pp.1222-1225. 18 Jinling Long, Wei Wu, Dong Nan and Junfang Wang, Uniqueness of linear combinations of ridge functions, Proceedings of Third International Conference on Natural Computation, ICNC 2007, Haikou, Publisher: Institute of Electrical and Electronics Engineers Computer Society, Piscataway, NJ 08855-1331, United States, pp. 85-88. 19 Xidai Kang, Yan Xiong, Chao Zhang and Wei Wu, Convergence of online gradient algorithm with stochastic inputs for Pi-sigma neural networks, Proceedings of the 2007 IEEE Symposium on Foundations of Computational Intelligence, Honolulu, Publisher: Institute of Electrical and Electronics Engineers Computer Society, pp564-569. Ei 20 Zhang HS, Wu W, Yao MC, Boundedness of a batch gradient method with penalty for feedforward neural networks, APPLIED MATHEMATICS FOR SCIENCE AND ENGINEERING, Proceedings of 12th WSEAS International Conference on APPLIED MATHEMATICS, DEC 2007, Cairo, EGYPT, Pages: 175-178, Publisher：WORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC 其他 1. 李正学，吴微, 引入技术指标的BP网络在沪市综合指数涨跌预测中的应用, Ccast-WL Workshops Series, Beijing, Aug. 2001, Vol. 142, 161-176. 2. 吴微，陈维强，刘播，用BP神经网络预测股票市场涨跌， Ccast-WL Workshops Series, Beijing, Aug. 2000, Vol. 127, 1-22. 3. 吴微, Generalized Difference Methods for Partial Differential Equations, The Third International Workshop on Scientific Computing and Applications, Hongkong, 2003, 国际会议特邀报告. 4. 吴微，Monotone and deterministic convergence of online gradient methods for feedforward neural networks， 第二届中韩数值分析及其应用研讨会，北京，2003, 国际会议特邀报告. 5. 吴微，Deterministic convergenceof an online gradient method for BP neural networks， The Second International Symposium on Computing Science, Guangzhou, 2002, 国际会议特邀报告. 6. 吴微，Some recent developments on convergence online gradient methods for neural networks, 第七届中日计算数学研讨会,张家界,2004, 国际会议特邀报告. 7 吴微，Learning algorithms for feedforward neural networks, The Third International Congress of Chinese Mathematicians, Hongkong, 2004, 国际会议特邀报告. 9 吴微，Gradient methods for BP neural networks, The International Conference on Applicable Harmonic Analysis: Approximation and Computation, Beijing, 2006, 国际会议特邀报告 10 吴微,智能计算,2009全国计算数学年会大会特邀报告,厦门,2009. 11 吴微,智能计算,福建师范大学数学与计算机学院邀请报告,福州,2009. 科研成果及所受奖励: 主持项目： 1．90-93 国家教委归国人员基金 （非线性问题研究） ￥ 4万 2．90-92 国家教委博士后基金 （分支理论与计算） ￥ 1万 3．94-95 第三世界科学院研究基金（局部静态到整体动态分支） $ 1千 4．96-98 国家自然科学基金 （动力系统计算） ￥ 4万 5．00-01 教育部青年骨干教师基金（神经网络计算） ￥12万 6．00-02 国家自然科学基金 （在线梯度法） ￥10万 7．00-03 国防科工委国防基础科研（图象识别形状特征研究） ￥70万 8. 01-06 辽宁省学科带头人基金 ￥7.5万 9．02-03 “十五”国家级规划教材匹配基金（神经网络计算） ￥ 2万 10.05-07 国家自然科学基金（神经网络学习算法 ） ￥16万 11.08-09 大连理工大学数学+X项目(传感器阵列) ￥ 4万 12.09-11 国家自然科学基金（神经网络收敛性 ） ￥26万 奖励与荣誉： 吉林大学跨世纪人才 （1995） 教育部科技进步三等奖 （1999） 教育部青年骨干教师 （2000） 辽宁省中青年学科带头人 （2001） 辽宁省自然科学学术成果一等奖（2003） 辽宁省自然科学学术成果一等奖（2004） 享受国务院政府特殊津贴 （2006） 所指导博士生邵红梅获“纪念向坊隆村井隆奖学金”（2006） 所指导本科生高利坤毕业论文获校优秀论文（2008） 所指导博士生张超获“校优秀博士生”奖（2008） 所指导博士生徐东坡获“光华奖学金”（2008） 在读硕士、博士人数: 17 已毕业硕士博士人数: 10 以上资料最后修改时间: 2009-5-7