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导师信息
姓名 吴微
院系 数学科学学院
办公电话 0411-84708294
电子信箱 wuweiw@dlut.edu.cn
更新时间 2011-6-30
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
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. 全国博士后管委会专家组成员 (2009)
4. 大连市学术专著资助出版评审委员会专家评审组成员 （2009）
5. 《J. Information & Computational Sciences》编委 （2004）
6. 《数学研究与评论》编委 （2002）
7. 《高校计算数学学报》编委 （2003）
8. 《大连理工大学学报》编委 (2005)
9. 中国数学会理事 (2002-2007)
10. 辽宁省数学会副理事长 （2002-2008）
11. 中国计算数学学会常务理事，副秘书长 （2002，2007）
12. 科学出版社《信息与计算科学丛书》编委 （2003）
13. 高教出版社《信息与计算科学专业系列教材》编委 （2004）
14. 科学出版社《大学数学选修课丛书》编委 （2009）
15. 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，微分方程数值解，分支理论与计算
硕博研究方向：
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”国家级规划教材)
4. 吴微，周春光，梁艳春，智能计算，
高等教育出版社, 北京, 2009. (“十一五”国家级规划教材)
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
EI PageOne
87 Huisheng Zhang, Wei Wu, Boundedness and Convergence of Online Gradient
Method with Penalty for Linear Output Feedforward Neural Networks, Neural
Processing Letters, 29(2009)205–212
SCI,EI
88 Huisheng Zhang, Wei Wu, Fei Liu, and Mingchen Yao, Boundedness and
Convergence of Online Gradient Method With Penalty for Feedforward Neural
Networks, IEEE TRANSACTIONS ON NEURAL NETWORKS,
20(6)(2009)1050-1054
SCI,EI
89 吴微，张凌，自适应参数的AOSVR算法及其在股票预测中应用，大连理工大学学报，
49(2009)605-610
EI
90 Xu, Dongpo; Li, Zhengxue; Wu, Wei, Convergence of gradient method for a fully
recurrent neural network, SOFT COMPUTING, 14(3)(2009): 245-250
SCI,EI
91 Wei Wu, Long Li, Jie Yang, Yan Liu, A modified gradient-based neuro-fuzzy learning
algorithm and its convergence, Information Sciences, 180 (2010) 1630–1642 SCI
92 熊焱，吴微，张超，亢喜岱，基于灰色关联分析的高阶神经网络剪枝算法，大连理工
大学学报，50(3)(2010)463-468
93 Shao Hongmei, Wu Wei, Liu Lijun, Convergence of online gradient method with
penalty for BP neural networks, Communications in Mathematical Research,
26 (2010)67-75
94 Wei Wu, Jian Wang, Mingsong Cheng, Zhengxue Li, Convergence analysis of online
gradient method for BP neural networks, Neural Networks, 24 (2011) 91–98 SCI
95 Jian Wang, Wei Wu, Jacek M. Zurada, Deterministic convergence of conjugate
gradient method for feedforward neural networks, Neurocomputing,
74(2011)2368–2376 SCI
96 JIAN WANG, WEI WU, ZHENGXUE LI, AND LONG LI，CONVERGENCE OF GRADIENT
METHOD FOR DOUBLE PARALLEL FEEDFORWARD NEURAL NETWORK，
INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING，
8（2011）484–495
97 Chao Zhang, Jie Yang and Wei Wu, Binary higher order neural networks for realizing
boolean functions, IEEE Transactions on Neural Networks, 22(2011)701-713
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.
Ei
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
Ei
16 Wei Wu, Dong Nan, Zhengxue Li, Jingling Long, Junfang Wang, Approximation
capability to compact sets of functions and operators by feedforward neural
networks, Proceedings to 2007 2nd International Conference on Bio-Inspired
Computing: Theories and Applications, BICTA 2007, p 82-86, Zhengzhou,
Published by Inst. of Elec. and Elec. Eng. Computer Society, 2007
Ei
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.
Ei
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.
Ei
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
21 Mingchen Yao, Jie Yang, Huisheng Zhang and Wei Wu, An attribute value
reduction algorithm based on set operations, Proceedings of 2009 First
International Workshop on Database Technology and Applications, April 2009,
Wuhan, Jianxun Chen and Zhengbing Hu eds., IEEE Computer Society Conference
Publishing Services, 2009
EI
22 Long Li, Jie Yang, Wei Wu and Tianshuang Wu, An intuitional fuzzy associative
memory and its learning rule, Proceedings of 2009 IEEE International Conference
on Granular Computing, Nanchang, Chuina, 2009, Edited by Tsau Yong Li, et al.,
IEEE Press, 2009, pp350-353.
EI
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
13. 10-12 辽宁省教改项目(信息与计算科学系列教材建设)
14. 09-10 “十一五”国家级规划教材匹配基金（智能计算） ￥ 2万
15. 10-11 大连理工大学学科交叉科研专题（数码相机中人体分割的神经网络
方法） ￥ 10万
奖励与荣誉：
享受国务院特殊津贴专家 （2006）
教育部青年骨干教师 （2000）
辽宁省中青年学科带头人 (2001)
教育部科技进步三等奖(排名第四) （1999）
辽宁省自然科学奖三等奖(排名第一) (2009)
辽宁省教学成果一等奖(排名第二) (2009)
辽宁省自然科学学术成果一等奖(排名第一) （2003）
辽宁省自然科学学术成果一等奖 (排名第一) （2004）
辽宁省自然科学学术成果一等奖(排名第一) （2009）
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）
所指导博士生李龙获 “水田宗子”奖学金(2009）
在读学生人数 ：
17
毕业学生人数：
10
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