Prof. Wei Wu

Dalian University of Technology, China

Email: wuweiw@dlut.edu.cn

Qualifications

1987  Ph.D., Oxford University, UK

1981  B.S., Jilin University, China

Publications (Selected)

1. Zhengxue Li, Wei Wu and Hongwei Zhang, Convergence of on-line gradient methods for two-layer feedforward neural networks, J. Mathematical Research and Exposition, 21(2)(2001)219-228.
2. Jun Kong, Wei Wu and Weihai Zhao, Neural networks for recognition of mathematics symbols, Acta Aci. Natur. Univ. Jilin., 3(2001)11-16.
3. Wei Wu and Weiqiang Chen, Improvement of BP algorithm for prediction of stock market, Acta Aci. Natur. Univ. Jilin., 41(5)(2001)518-522.
4. Jun Kong and Wei Wu, Online Gradient Methods with a Punishing Term for Neural Networks, Northeast. Math. J., 17(3)(2001)371-378.
5. 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):325-334.
6. 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.
7. 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.
8. 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.
9. Libin Guo and Wei Wu, Recognition of cross points in two dimensional images by neural networks, J. Dalian Univ. Tech., 43(2003)548-550.
10. 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.
11. Zhengxue Li, Wei Wu and Yuelong Tian, Convergence of an online gradient method for feedforward neural networks with stochastic inputs, J. of Computational and Applied Mathematics, 163(1)(2004)165-176.
12. Yulin Zhang and Wei Wu, Detection of stock market dark horse using neural networks, Operations Research and Management Sciences, 13(2)(2004)123-126.
13. Lijun Liu and Wei Wu, Finite convergence of MR1 neural networks for linearly separable training patterns, Lecture Notes in Computer Science, 3173(2004)282-295.
14. Wei Wu, Zhengxue Li, Guori Feng, Naimin Zhang, Dong Nan, Zhiqiong Shao, Jie Yang, Liqing Zhang, and Yuesheng Xu, Recent developments in on convergence of online gradient methods for neural network training, Lecture Notes in Computer Science, 3173(2004)235-238.
15. 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.
16. 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 of Chinese Universities, 14(2005)87-96.
17. Wu, W.; Feng, G.; Li, Z.; Xu, Y., Deterministic Convergence of an Online Gradient Method for BP Neural Networks, IEEE Transactions on Neural Networks, 16(2005)533-540.
18. 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.
19. Yang, J; Wu, W; Shao, ZQ, A new training algorithm for a fuzzy perceptron and its convergenceLecture Notes in Computer Science, 3496(2005) 609-614.
20. Naimin Zhang; Wei Wu; Gaofeng Zheng, Convergence of gradient method with momentum for two-Layer feedforward neural networksIEEE Transactions on Neural Networks, vol.17, no.2, 2006, 522- 525.
21. 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 2006Lecture Notes in Computer Science, 4113（2006）274–279.
22. SHAO Zhiqiong, WU Wei, YANG Jie, Finite convergence of On-line BP neural networks with linearly separable training patterns, J. Mathematical Research and Exposition, 26（2006）451-456.
23. 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 ILecture Notes in Computer Science, 4232, pp. 562–569, 2006
24. Lichang Hou, Wei Wu, Bingdui Zhu, Feng Li, A Segmentation Method for Merged Characters Using Self-Organizing Map Neural NetworksJournal of Information and Computational Science, 3:2(2006)219-226
25. 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.
26. Dongpo Xu, Zhengxue Li, Wei Wu, Xiaoshuai Ding, and Di Qu,  Convergence of Gradient Descent Algorithm for a Recurrent NeuronLecture Notes in Computer Science 4493, pp. 117–122, 2007.
27. Hongmei Shao, Wei Wu and Wenbin Liu, Convergence of BP algorithm for training MLP with linear outputNumerical Mathematics, A Journal of Chinese Universities (English Series), 16(2007)193-202.
28. Jie Yang and Wei Wu, Is Bias Dispensable for Fuzzy Neural Networks,Fuzzy Sets and Systems 158 (2007) 2757–2762.
29. Jinling Long, Wei Wu, Dong Nan, L^p Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural NetworksInternational Journal of Neural Systems, 17(5) (2007) 419–424.
30. C. Zhang, W. Wu, Y. Xiong, Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural NetworksNeural Processing Letters, 26(3)(2007)177-189.
31. Yan XIONG, Wei WU, Huifang LU, Chao ZHANG, Convergence of Online Gradient Method for Pi-sigma Neural NetworksJournal of Computational Information Systems,  3:6 (2007) 2345-2352.
32. Wei Wu, Naimin Zhang, Zhengxue Li, Long Li and Yan Liu, Convergence of gradient method with momentum for back-propagation neural networksournal of Computational Mathematics, 26:4(2008)613-623.