中文版 | English

在结果中检索

CSpace

浏览/检索结果: 共4条，第1-4条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Data-driven soliton mappings for integrable fractional nonlinear wave equations via deep learning with Fourier neural operator 期刊论文
CHAOS SOLITONS & FRACTALS, 2022, 卷号: 165, 页码: 14
作者:  Zhong, Ming;  Yan, Zhenya
收藏  |  浏览/下载：68/0  |  提交时间：2023/02/07
Integrable fractional nonlinear wave equations  Fourier neural operator  Deep learning  Data-driven soliton mapping  Activation function  Channel of fully-connected layer  
Data-driven rogue waves and parameter discovery in the defocusing nonlinear Schrodinger equation with a potential using the PINN deep learning 期刊论文
PHYSICS LETTERS A, 2021, 卷号: 404, 页码: 7
作者:  Wang, Li;  Yan, Zhenya
收藏  |  浏览/下载：125/0  |  提交时间：2021/10/26
Defocusing NLS equation with the  time-dependent potential  Initial-boundary value conditions  Physics-informed neural networks  Deep learning  Data-driven rogue waves and parameter discovery  
Towards understanding residual and dilated dense neural networks via convolutional sparse coding 期刊论文
NATIONAL SCIENCE REVIEW, 2021, 卷号: 8, 期号: 3, 页码: 13
作者:  Zhang, Zhiyang;  Zhang, Shihua
收藏  |  浏览/下载：149/0  |  提交时间：2021/10/26
convolutional neural network  convolutional sparse coding  residual neural network  mixed-scale dense neural network  dilated convolution  dense connection  
Recovering Network Structures With Time-Varying Nodal Parameters 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 7, 页码: 2588-2598
作者:  Wang, Xiong;  Lu, Jinhu;  Wu, Xiaoqun
收藏  |  浏览/下载：188/0  |  提交时间：2020/09/23
Complex networks  Time-varying systems  Taylor series  Power system dynamics  Vehicle dynamics  Topology  Complex network  Lasso method  network reconstruction  time-varying nodal parameter