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个人信息Personal Information
教授
博士生导师
硕士生导师
性别：男
毕业院校：英国牛津大学数学所
学位：博士
所在单位：数学科学学院
学科：计算数学
电子邮箱：wuweiw@dlut.edu.cn
扫描关注
- [41]Yu, Ju-dong, Li, Feng, Wu, Wei, Wang, Jing.Neural Networks with L-1 Regularizer for Sparse Representation of Input Data[A],2014,437-440
- [42]吴微.A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy...[J],Neurocomputingv 138, p 229-37, 22 Aug. 2014,2014,138(4):229-237
- [43]吴微.Batch gradient method with smoothing L1/2 regularization for training of feedforward neural netwo...[J],Neural Networks,2014,50(1):72-78
- [44]吴微.Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regular...[J],Neurocomputing,2014,131(5):208-216
- [45]王兢, 解永平, 吴微.Identification of formaldehyde under different interfering gases conditions[A],2014
- [46]杨洁, 吴微.Double parallel feedforward neural network based on extreme learning machine with L1/2regularizer[J],Neurocomputing,2014,128(March):113-118
- [47]杨洁, 吴微.A Modified Gradient-Based Neuro-Fuzzy Learning Algorithm for Pi-Sigma Network Based on First-Orde...[J],Journal of Mathematical Research with Applications,2014,34(1):114-126
- [48]余矩东, 李锋, 吴微, 王健.Neural Networks with L1/2 Regularizer for Sparse Representation of Input Data[A],2014,437-440
- [49]Yang, Wenyu, Wu, Wei, Fan, Yetian, Li, Zhengxue, W (reprint author), Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China..Particle Swarm Optimization Based on Local Attractors of Ordinary Differential Equation System[J],DISCRETE DYNAMICS IN NATURE AND SOCIETY,2014
- [50]Sun Q., Liu Y., Li Z., Yang S., Wu W., Jin J..The binary output units of neural network[A],2013,7951 LNCS(PART 1):250-257
- [51]Qu, Yanpeng, Shang, Changjing, Yang, Jie, Wu, Wei, Shen, Qiang, YP (reprint author), Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China..Modified gradient-based learning for local coupled feedforward neural networks with Gaussian ba...[J],NEURAL COMPUTING & APPLICATIONS,2013,22(SUPPL.1):S379-S394
- [52]Fan, Yetian, Liu, Rongrong, Yang, Wenyu, Wu, Wei.An iterative algorithm for motif discovery[A],2013,24:25-29
- [53]刘燕, 杨洁, 吴微, 张会生.Convergence of online gradient methods for Pi-Sigma neural network with a penalty term, DOI: 10...[A],2013,6784769-6784769
- [54]Qu, Yanpeng, Shen, Qiang, Mac Parthalain, Neil, Shang, Changjing, Wu, Wei, Q (reprint author), Aberystwyth Univ, Dept Comp Sci, Aberystwyth SY23 3DB, Ceredigion, Wales..Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough pa...[J],INTERNATIONAL JOURNAL OF APPROXIMATE REASONING,2013,54(1):184-195
- [55]Liu, Yan, Yang, Jie, Wu, Wei, Zhang, Huisheng.Convergence of online gradient methods for Pi-Sigma neural network with a penalty term[A],2013
- [56]Yang, Wenyu, Wu, Wei, Jie, W (reprint author), Dalian Univ Technol, Sch Math Sci, Dalian, Peoples R China..A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time[J],NEURAL PROCESSING LETTERS,2012,36(2):135-144
- [57]Wang, Jian, Wu, Wei, Zurada, Jacek M., JM (reprint author), Univ Louisville, Dept Elect & Comp Engn, Louisville, KY 40292 USA..Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning...[J],NEURAL NETWORKS,2012,33:127-135
- [58]Liu, Yan, Yang, Jie, Li, Long, Wu, Wei, W (reprint author), Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China..Negative effects of sufficiently small initialweights on back-propagation neural networks[J],JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS,2012,13(8):585-592
- [59]Yang, Jie, Wenyu, Wu, Wei, W (reprint author), Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China..A remark on the error-backpropagation learning algorithm for spiking neural networks[J],APPLIED MATHEMATICS LETTERS,2012,25(8):1118-1120
- [60]Zhang, Huisheng, Wu, Wei, Yao, Mingchen, HS (reprint author), Dalian Maritime Univ, Dept Math, Dalian 116026, Peoples R China..Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward ne...[J],NEUROCOMPUTING,2012,89:141-146