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浏览/检索结果: 共6条，第1-6条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 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：8/0  |  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 discoveries of B?cklund transformations and soliton evolution equations via deep neural network learning schemes 期刊论文 PHYSICS LETTERS A, 2022, 卷号: 450, 页码: 15 作者:  Zhou, Zijian;  Wang, Li;  Yan, Zhenya 收藏  |  浏览/下载：1/0  |  提交时间：2023/02/07 Deep neural networks  B?cklund transform  Miura transform  Soliton equations  Breathers  Solitons   Data-Driven Deep Learning for The Multi-Hump Solitons and Parameters Discovery in NLS Equations with Generalized PT-Scarf-II Potentials 期刊论文 NEURAL PROCESSING LETTERS, 2022, 页码: 19 作者:  Zhong, Ming;  Zhang, Jian-Guo;  Zhou, Zijian;  Tian, Shou-Fu;  Yan, Zhenya 收藏  |  浏览/下载：5/0  |  提交时间：2023/02/07 Focusing and defocusing nonlinear Schrodinger equations  Generalized PT-Scarf-II potential  Physics-informed deep neural networks  Data-driven solitons and parameters discovery   Deep learning neural networks for the third-order nonlinear Schrodinger equation: bright solitons, breathers, and rogue waves 期刊论文 COMMUNICATIONS IN THEORETICAL PHYSICS, 2021, 卷号: 73, 期号: 10, 页码: 9 作者:  Zhou, Zijian;  Yan, Zhenya 收藏  |  浏览/下载：5/0  |  提交时间：2022/04/02 third-order nonlinear Schrodinger equation  deep learning  data-driven solitons  data-driven parameter discovery   Deep learning neural networks for the third-order nonlinear Schr?dinger equation: bright solitons, breathers, and rogue waves 期刊论文 Communications in Theoretical Physics, 2021, 卷号: 73, 期号: 10 作者:  Zhou,Zijian;  Yan,Zhenya 收藏  |  浏览/下载：4/0  |  提交时间：2022/04/02 third-order nonlinear Schr?dinger equation  deep learning  data-driven solitons  data-driven parameter discovery   Solving forward and inverse problems of the logarithmic nonlinear Schrodinger equation with PT-symmetric harmonic potential via deep learning 期刊论文 PHYSICS LETTERS A, 2021, 卷号: 387, 页码: 12 作者:  Zhou, Zijian;  Yan, Zhenya 收藏  |  浏览/下载：36/0  |  提交时间：2021/04/26 Logarithmic nonlinear Schrodinger equation  PT-symmetric potentials  Physics-informed neural networks  Deep learning  Data-driven discovery of LNLS equation  Data-driven solitons