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SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems 期刊论文
NEURAL NETWORKS, 2020, 卷号: 132, 页码: 166-179
作者:  Jin, Pengzhan;  Zhang, Zhen;  Zhu, Aiqing;  Tang, Yifa;  Karniadakis, George Em
收藏  |  浏览/下载：143/0  |  提交时间：2021/04/26
Deep learning  Physics-informed  Dynamical systems  Hamiltonian systems  Symplectic maps  Symplectic integrators  
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
作者:  Xiao, Jin;  Jia, Yanlin;  Jiang, Xiaoyi;  Wang, Shouyang
收藏  |  浏览/下载：133/0  |  提交时间：2021/04/26
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  
Prediction of enhancer-promoter interactions using the cross-cell type information and domain adversarial neural network 期刊论文
BMC BIOINFORMATICS, 2020, 卷号: 21, 期号: 1, 页码: 16
作者:  Jing, Fang;  Zhang, Shao-Wu;  Zhang, Shihua
收藏  |  浏览/下载：139/0  |  提交时间：2021/01/14
Enhancer–  promoter interactions  Cell line  Convolutional neural network  Transfer learning  Gradient reversal layer  
Prediction of enhancer–promoter interactions using the cross-cell type information and domain adversarial neural network 期刊论文
BMC Bioinformatics, 2020, 卷号: 21, 期号: 1
作者:  Jing,Fang;  Zhang,Shao-Wu;  Zhang,Shihua
收藏  |  浏览/下载：140/0  |  提交时间：2021/01/14
Enhancer–promoter interactions  Cell line  Convolutional neural network  Transfer learning  Gradient reversal layer  
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
作者:  Jin, Pengzhan;  Lu, Lu;  Tang, Yifa;  Karniadakis, George Em
收藏  |  浏览/下载：118/0  |  提交时间：2021/01/14
Neural networks  Generalization error  Learnability  Data distribution  Cover complexity  Neural network smoothness  
Make l(1) regularization effective in training sparse CNN 期刊论文
COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 2020, 卷号: 77, 期号: 1, 页码: 163-182
作者:  He, Juncai;  Jia, Xiaodong;  Xu, Jinchao;  Zhang, Lian;  Zhao, Liang
收藏  |  浏览/下载：164/0  |  提交时间：2020/09/23
Sparse optimization  l(1) regularization  Dual averaging  CNN  
Combining STRIPAT model and gated recurrent unit for forecasting nature gas consumption of China 期刊论文
MITIGATION AND ADAPTATION STRATEGIES FOR GLOBAL CHANGE, 2020, 页码: 19
作者:  Xiao, Yi;  Li, Keying;  Hu, Yi;  Xiao, Jin;  Wang, Shouyang
收藏  |  浏览/下载：142/0  |  提交时间：2020/09/23
Natural gas consumption forecasting  Emission reduction  Deep learning  STRIPAT model  Gated recurrent unit model  Bagging  
Training GANs with centripetal acceleration 期刊论文
OPTIMIZATION METHODS & SOFTWARE, 2020, 页码: 19
作者:  Peng, Wei;  Dai, Yu-Hong;  Zhang, Hui;  Cheng, Lizhi
收藏  |  浏览/下载：139/0  |  提交时间：2020/05/24
Primary: 97N60  90C25  Secondary: 90C06  90C30  
Numerical simulations of one laser-plasma model based on Poisson structure 期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 卷号: 405, 页码: 20
作者:  Li, Yingzhe;  Sun, Yajuan;  Crouseilles, Nicolas
收藏  |  浏览/下载：153/0  |  提交时间：2020/05/24
Laser-plasma interaction  Vlasov-Maxwell system  Poisson bracket  Hamiltonian splitting  Conservative splitting  
Study of Restrained Network Structures for Wasserstein Generative Adversarial Networks (WGANs) on Numeric Data Augmentation 期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 89812-89821
作者:  Wang, Wei;  Wang, Chuang;  Cui, Tao;  Li, Yue
收藏  |  浏览/下载：149/0  |  提交时间：2020/09/23
Gallium nitride  Generative adversarial networks  Tensile stress  Generators  Indexes  Training  Numerical models  Restrained network structures  generative adversarial network  numeric data augmentation