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)
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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.
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Jun Kong, Wei Wu
and Weihai Zhao, Neural networks for recognition of mathematics symbols, Acta
Aci. Natur. Univ. Jilin., 3(2001)11-16.
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Wei Wu and Weiqiang
Chen, Improvement of BP algorithm for prediction of stock market, Acta Aci.
Natur. Univ. Jilin., 41(5)(2001)518-522.
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Jun Kong and Wei
Wu, Online Gradient Methods with a Punishing Term for Neural Networks,
Northeast. Math. J., 17(3)(2001)371-378.
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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.
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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.
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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.
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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.
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Libin Guo and Wei
Wu, Recognition of cross points in two dimensional images by neural networks,
J. Dalian Univ. Tech., 43(2003)548-550.
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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.
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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.
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Yulin Zhang and Wei
Wu, Detection of stock market dark horse using neural networks, Operations
Research and Management Sciences, 13(2)(2004)123-126.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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
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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
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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.
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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.
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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.
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Jie Yang and Wei
Wu, Is Bias Dispensable for Fuzzy Neural Networks,Fuzzy Sets and Systems 158
(2007) 2757–2762.
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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.
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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.
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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.
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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.