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刘燕.完全随机输入的模糊delta-规则的有限收敛性[J],高等学校计算数学学报,2022,33(1):60-66
刘燕.带递归的模糊感知器有限收敛性[J],大连理工大学学报,2022,51(6):933-936
刘燕.带阈值的模糊感知器的收敛性[A],2005年全国高等学校计算数学年会暨第八届全国青年计算数学研讨会,2022,320-323
窦同意.Visualization of the human serum metabolic data by the t-SNE algorithm[A],The 8th International Conference on Bioscience, Biochemistry and Bioinformatics,2022
杨洁.A modified one-layer spiking neural network involves derivative of the state function at firing t...[A],9th International Symposium on Neural Networks,2022,149-158
Yang, Wenyu.A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time[J],NEURAL PROCESSING LETTERS,2022,36(2):135-144
杨洁.A Modified Gradient-Based Neuro-Fuzzy Learning Algorithm for Pi-Sigma Network Based on First-Orde...[J],Journal of Mathematical Research with Applications,2022,34(1):114-126
Li, Long.INTUITIONISTIC FUZZY HOPFIELD NEURAL NETWORK AND ITS STABILITY[J],Neural Network World,2022,21(5):461-472
Yao, Mingchen.An Attribute Value Reduction Algorithm Based on Set Operations[A],1st International Workshop on Database Technology and Applications,2022,181-+
吴微.A modified gradient-based neuro-fuzzy learning algorithm and its convergence[J],INFORMATION SCIENCES,2022,180(9):1630-1642
Fan, Yetian.An Algorithm for Motif Discovery with Iteration on Lengths of Motifs[J],IEEE ACM Transactions on Computational Biology and Bioinformatics,2022,12(1):136-141
杨洁.模糊神经网络中最大最小算子的连续化[J],高等学校计算数学学报,2022,S1:378-382
秦妍.Detection of honeycomb cell walls from measurement data based on Harris corner detection algori...[J],MEASUREMENT SCIENCE TECHNOLOGY,2022,29(6)
Pan, Tingting.Learning imbalanced datasets based on SMOTE and Gaussian distribution[J],INFORMATION SCIENCES,2022,512:1214-1233
Lu, Lu.Interpretability for Neural Networks from the Perspective of Probability Density[A],2019 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2019),2022,1502-1507
Li, Wenyu.A New Conjugate Gradient Method with Smoothing L-1/2 Regularization Based on a Modified Secant ...[J],NEURAL PROCESSING LETTERS,2022,48(2,SI):955-978
杨洁.A new training algorithm for a fuzzy perceptron and its convergence[A],Second International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2005,2022,3496(I):609-614
Wang, Jian.Convergence of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks[J],IEEE TRANSACTIONS ON NEURAL NETWORKS,2022,22(8):1297-1306
Li, Long.An intuitionistic fuzzy associative memory network and its learning rule[A],IEEE International Conference on Granular Computing,2022,350-+
Pan, Tingting.Artificial intelligent matching for scratches of semiconductor wafers based on a K-NN algorithm[J],Surface topography metrology and properties,2022,7(2)
杨洁.A New Improved Learning Algorithm for Convolutional Neural Networks[J],PROCESSES,2022,8(3)
杨洁.A NOVEL SPIKING PERCEPTRON THAT CAN SOLVE XOR PROBLEM[J],Neural Network World,2022,21(1):45-50
张超.Binary Higher Order Neural Networks for Realizing Boolean Functions[J],IEEE TRANSACTIONS ON NEURAL NETWORKS,2022,22(5):701-713
杨洁.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)
Liu, Fang.A New Fuzzy Spiking Neural Network Based on Neuronal Contribution Degree[J],IEEE Transactions on Fuzzy Systems,2022
刘艳.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
杨洁.A remark on the error-backpropagation learning algorithm for spiking neural networks[J],APPLIED MATHEMATICS LETTERS,2022,25(8):1118-1120
Yang, Sibo.Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems[J],NEURAL PROCESSING LETTERS,2022,52(1,SI):153-167
Liu, Yan.Convergence of online gradient methods for Pi-Sigma neural network with a penalty term[A],2013 IEEE Conference Anthology, ANTHOLOGY 2013,2022
李仑.A smoothing algorithm for training max-min neural networks[J],Journal of Theoretical and Applied Information Technology,2022,46(1):114-119
秦炎.Burr removal from measurement data of honeycomb core surface based on dimensionality reduction an...[J],MEASUREMENT SCIENCE TECHNOLOGY,2022,29(11):115010-115010
杨洁.Choice of initial bias in max-min fuzzy neural networks[A],World Congress on Computational Intelligence (WCCI 2010),2022
刘燕.Convergence of online gradient methods for Pi-Sigma neural network with a penalty term, DOI: 10...[A],2013 IEEE Conference Anthology,2022,6784769-6784769
Qu, Yanpeng.Modified gradient-based learning for local coupled feedforward neural networks with Gaussian ba...[J],NEURAL COMPUTING APPLICATIONS,2022,22(SUPPL.1):S379-S394
Liu, Yan.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
杨洁.Robustness of classification ability of spiking neural networks[J],NONLINEAR DYNAMICS,2022,82(1-2):723-730
Zhao, Junhong.Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities[J],IEEE Transactions on Neural Networks and Learning Systems,2022
杨洁.Double parallel feedforward neural network based on extreme learning machine with L1/2regularizer[J],NEUROCOMPUTING,2014,128(March):113-118
李锋.Extreme learning machine with local connections[J],NEUROCOMPUTING,2019,368:146-152
邵郅邛.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
杨洁.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
吴微.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
杨洁.加强大学生《高等数学》基础知识培养的探索和研究[J],教育现代化,2018,5(53):209-210,213
李正学.基于Matlab的智能计算课程可视化教学[J],教育教学论坛,2013,17:263-263,264
刘燕.完全随机输入的模糊δ-规则的有限收敛性[J],高等学校计算数学学报,2022,33(1):60-66
龚燕.基于蚁群迭代算法的近似测地线计算[J],大连理工大学学报,2022,1:115-118
刘燕.带阈值的模糊感知器的收敛性[J],高等学校计算数学学报,2022,S1:320-323
杨洁.模糊神经网络中最大最小算子的连续化[A],2005年全国高等学校计算数学年会暨第八届全国青年计算数学研讨会,2022,378-382
Zhenhao Jiang.Imbalanced learning with oversampling based on classification contribution degree[J],Advanced Theory and Simulations,2021,4(5):2100031
Spiking neural network regularization with fixed and adaptive Drop-Keep probabilities[J],IEEE Transactions on Neural Network and Learning Systems,2021
姜振浩.A New Oversampling Method Based on the Classification Contribution Degree[J],Symmetry,2021,13(194)
Yang, Sibo,Zhang, Chao,Bao, Yuan,Yang, Jie,Wu, Wei.Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems[J],NEURAL PROCESSING LETTERS,2020,52(1,SI):153-167
Lu, Lu,Pan, Tingting,Zhao, Junhong,Yang, Jie.Interpretability for Neural Networks from the Perspective of Probability Density[A],2019,1502-1507
Yang, Jie,Zhao, Junhong,Lu, Lu,Pan, Tingting,Jubair, Sidra.A New Improved Learning Algorithm for Convolutional Neural Networks[J],PROCESSES,2020,8(3)
Jie Yang,Junhong Zhao,Lu Lu,Tingting Pan,Sidra Jubair.A New Improved Learning Algorithm for Convolutional Neural Networks[J],Processes,2020
Lu Lu,Tingting Pan,Junhong Zhao,Jie Yang.Interpretability for Neural Networks from the Perspective of Probability Density[A],2019,1502 - 1507
Pan, Tingting,Zhao, Junhong,Wu, Wei,Yang, Jie.Learning imbalanced datasets based on SMOTE and Gaussian distribution[J],INFORMATION SCIENCES,2020,512:1214-1233
Yang, Jie,Wu, Wei,Shao, Zhiqiong.A new training algorithm for a fuzzy perceptron and its convergence[A],2005,3496(I):609-614
Liu, Yan,Yang, Dakun,Li, Long,Yang, Jie.A Split-Complex Valued Gradient-Based Descent Neuro-Fuzzy Algorithm for TS System and Its Conve...[J],NEURAL PROCESSING LETTERS,2019,50(2):1589-1609
Li L.,Xu T.,Liu Y.,Yang J..A smoothing algorithm for training max-min neural networks[J],Journal of Theoretical and Applied Information Technology,2012,46(1):114-119
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