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Deep Nitsche Method: Deep Ritz Method with Essential Boundary Conditions 期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2021, 卷号: 29, 期号: 5, 页码: 1365-1384
Authors:  Liao, Yulei;  Ming, Pingbing
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Deep Nitsche Method  Deep Ritz Method  neural network approximation  mixed boundary conditions  curse of dimensionality  
A Novel Synchronization Protocol for Nonlinear Stochastic Dynamical Networked Systems 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 5, 页码: 2676-2686
Authors:  Gu, Haibo;  Wang, Xiong;  Liu, Kexin;  Lu, Jinhu
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Synchronization  Protocols  Stochastic processes  Artificial neural networks  Adaptive systems  Perturbation methods  Complex dynamical network  Lyapunov function  networked system  stochastic perturbation  synchronization  
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators 期刊论文
NATURE MACHINE INTELLIGENCE, 2021, 卷号: 3, 期号: 3, 页码: 218-+
Authors:  Lu, Lu;  Jin, Pengzhan;  Pang, Guofei;  Zhang, Zhongqiang;  Karniadakis, George Em
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A wavelet-based learning approach assisted multiscale analysis for estimating the effective thermal conductivities of particulate composites 期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2021, 卷号: 374, 页码: 28
Authors:  Dong, Hao;  Nie, Yufeng;  Cui, Junzhi;  Kou, Wenbo;  Zou, Minqiang;  Han, Junyan;  Guan, Xiaofei;  Yang, Zihao
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Particulate composites  Effective thermal conductivities  Multiscale modeling  Artificial neural network  Wavelet transform  
Circular Complex-Valued GMDH-Type Neural Network for Real-Valued Classification Problems 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5285-5299
Authors:  Xiao, Jin;  Jia, Yanlin;  Jiang, Xiaoyi;  Wang, Shouyang
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Biological system modeling  Data models  Biological neural networks  Predictive models  Neurons  Mathematical model  Complex-valued external criterion  complex-valued group method of data handling (GMDH)-type neural network  parameter estimation  real-valued classification  
Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness 期刊论文
NEURAL NETWORKS, 2020, 卷号: 130, 页码: 85-99
Authors:  Jin, Pengzhan;  Lu, Lu;  Tang, Yifa;  Karniadakis, George Em
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Neural networks  Generalization error  Learnability  Data distribution  Cover complexity  Neural network smoothness  
A new ensemble deep learning approach for exchange rates forecasting and trading 期刊论文
ADVANCED ENGINEERING INFORMATICS, 2020, 卷号: 46, 页码: 10
Authors:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
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Ensemble learning  Forecasting  Trading  Deep learning  LSTM  
A multi-granularity heterogeneous combination approach to crude oil price forecasting 期刊论文
ENERGY ECONOMICS, 2020, 卷号: 91, 页码: 9
Authors:  Wang, Jue;  Zhou, Hao;  Hong, Tao;  Li, Xiang;  Wang, Shouyang
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Crude oil Price  Forecast combination  Feature selection  Multi-granularity  Artificial bee colony  
Deep spatial-temporal structure learning for rumor detection on Twitter 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2020, 页码: 11
Authors:  Huang, Qi;  Zhou, Chuan;  Wu, Jia;  Liu, Luchen;  Wang, Bin
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Rumor detection  Spatial-temporal structure learning  
The scale -invariant space for attention layer in neural network 期刊论文
NEUROCOMPUTING, 2020, 卷号: 392, 页码: 1-10
Authors:  Wang, Yue;  Liu, Yuting;  Ma, Zhi-Ming
Favorite  |  View/Download:37/0  |  Submit date:2020/06/30