杨洁

个人信息Personal Information

副教授

博士生导师

硕士生导师

性别：女

毕业院校：大连理工大学

学位：博士

所在单位：数学科学学院

学科：计算数学

办公地点：大连理工大学创新园大厦B1405

联系方式：0411-84708351-8205

电子邮箱：yangjiee@dlut.edu.cn

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论文成果

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[41]张超, 杨洁, 吴微.Binary Higher Order Neural Networks for Realizing Boolean Functions[J],IEEE TRANSACTIONS ON NEURAL NETWORKS,2022,22(5):701-713
[42]杨洁, Wang, Ning, Pan, Tingting.A New Supervised Learning Algorithm Based on Genetic Inheritance for Spiking Neural Networks[A],3RD ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION SYSTEM AND ARTIFICIAL INTELLIGENCE (ISAI2018),2022,1069(1)
[43]Liu, Fang, 杨洁, Pedrycz, Witold, 吴微.A New Fuzzy Spiking Neural Network Based on Neuronal Contribution Degree[J],IEEE Transactions on Fuzzy Systems,2022
[44]刘艳, Yang, Dakun, 厉龙, 杨洁.A Split-Complex Valued Gradient-Based Descent Neuro-Fuzzy Algorithm for TS System and Its Conve...[J],NEURAL PROCESSING LETTERS,2022,50(2):1589-1609
[45]杨洁, Yang, Wenyu, 吴微.A remark on the error-backpropagation learning algorithm for spiking neural networks[J],APPLIED MATHEMATICS LETTERS,2022,25(8):1118-1120
[46]Yang, Sibo, 张超, Bao, Yuan, 杨洁, 吴微.Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems[J],NEURAL PROCESSING LETTERS,2022,52(1,SI):153-167
[47]Liu, Yan, 杨洁, 吴微, 张会生.Convergence of online gradient methods for Pi-Sigma neural network with a penalty term[A],2013 IEEE Conference Anthology, ANTHOLOGY 2013,2022
[48]李仑, Xu T., 刘勇, 杨洁.A smoothing algorithm for training max-min neural networks[J],Journal of Theoretical and Applied Information Technology,2022,46(1):114-119
[49]秦炎, 康仁科, 董志刚, 王毅丹, 杨洁, 朱祥龙.Burr removal from measurement data of honeycomb core surface based on dimensionality reduction an...[J],MEASUREMENT SCIENCE TECHNOLOGY,2022,29(11):115010-115010
[50]杨洁, Li, Long, Yan, Liu, 王兢, 吴微.Choice of initial bias in max-min fuzzy neural networks[A],World Congress on Computational Intelligence (WCCI 2010),2022
[51]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 IEEE Conference Anthology,2022,6784769-6784769
[52]Qu, Yanpeng, Shang, Changjing, 杨洁, 吴微, Shen, Qiang.Modified gradient-based learning for local coupled feedforward neural networks with Gaussian ba...[J],NEURAL COMPUTING APPLICATIONS,2022,22(SUPPL.1):S379-S394
[53]Liu, Yan, 杨洁, 厉龙, 吴微.Negative effects of sufficiently small initialweights on back-propagation neural networks[J],浙江大学学报 C卷英文版,2022,13(8):585-592
[54]杨洁, 张平平, 刘艳.Robustness of classification ability of spiking neural networks[J],NONLINEAR DYNAMICS,2022,82(1-2):723-730
[55]Zhao, Junhong, 杨洁, 王军, 吴微.Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities[J],IEEE Transactions on Neural Networks and Learning Systems,2022
[56]杨洁, 吴微.Double parallel feedforward neural network based on extreme learning machine with L1/2regularizer[J],NEUROCOMPUTING,2014,128(March):113-118
[57]李锋, 杨洁, Yao, Mingchen, Yang, Sibo, 吴微.Extreme learning machine with local connections[J],NEUROCOMPUTING,2019,368:146-152
[58]邵郅邛, 吴微, 杨洁.具线性可分训练样本时在线BP神经网络的有限收敛性[J],数学研究与评论英文版,2006,26(3):451-456
[59]杨洁, 蒋志刚, 孙丽君.基于深度学习思维培养的高等数学课堂教学探索[J],教育教学论坛,2022,18:169-170
[60]吴微, 杨洁.用于神经网络权值稀疏化的L_(1/2)正则化方法[J],中国科学数学,2015,45(9):1487-1504

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