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李正学
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Associate Professor Supervisor of Master's Candidates
Paper Publications
[21]Xu, Dongpo, Li, Zhengxue, Wu, Wei, ZX (reprint author), Dalian Univ Technol, Dept Appl Math, Dalian 116024, Peoples R China..Convergence of gradient method for a fully recurrent neural network[J],SOFT COMPUTING,2010,14(3):245-250
[22]Qi J., Zhao H., Wang J., Li Z..A new hierarchical genetic algorithm for low-power network on chip design[A],2010,PART 2:159-162
[23]李正学.L^2(R^d) approximation capability of incremental constructive feedforward neural networks with ra...[J],Journal of Mathematical Research and Exposition,2010,30(5):799-807
[24]Li Z., Chen L., Li, Z., Department of Applied Mathematics, Dalian University of Technology, Dalian, 116024, China, email: lizx0427@126.com.A delayed ratio-dependent predator-prey system with stage-structured and impulsive stocking on pr...[J],International Journal of Pure and Applied Mathematics,2009,55(4):513-526
[25]吴微, 徐东坡, 李正学.Elman网络梯度学习法的收敛性[J],应用数学和力学,2008,29(9):1117-1123
[26]Wu Wei, Xu Dong-po, Li Zheng-xue, Wu, W (reprint author), Dalian Univ Technol, Dept Appl Math, Dalian 116024, Liaoning Prov, Peoples R China..Convergence of gradient method for Elman networks[J],APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION,2008,29(9):1231-1238
[27]Wu, Wei, Zhang, Naimin, Li, Zhengxue, Long, Liu, Yan, W (reprint author), Dalian Univ Technol, Dept Appl Math, Dalian 116024, Peoples R China..Convergence of gradient method with momentum for back-propagation neural networks[J],JOURNAL OF COMPUTATIONAL MATHEMATICS,2008,26(4):613-623
[28]Xu, Dongpo, Li, Zhengxue, Wu, Wei, W (reprint author), Dalian Univ Technol, Dept Appl Math, Dalian 116024, Peoples R China..Convergence of approximated gradient method for Elman network[J],NEURAL NETWORK WORLD,2008,18(3):171-180
[29]Xu, Dongpo, Li, Zhengxue, Wu, Wei, Ding, Xiaoshuai, Qu, Di.Convergence of Gradient Descent Algorithm for Diagonal Recurrent Neural Networks[A],2007,29-31
[30]Wu, Wei, Nan, Dong, Li, Zhengxue, Long, Jinling, Wang, Junfang.Approximation Capability to Compact Sets of Functions and Operators by Feedforward Neural Netwo...[A],2007,82-86
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