左迁 -
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) 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
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. 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,
学习分享！