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Principle Driven Parameterized Fiber Model based on GPT-PINN Neural
  Network

Principle Driven Parameterized Fiber Model based on GPT-PINN Neural Network

19 August 2024
Yubin Zang
Boyu Hua
Zhenzhou Tang
Zhipeng Lin
Fangzheng Zhang
Simin Li
Zuxing Zhang
Hongwei Chen
ArXiv (abs)PDFHTML

Papers citing "Principle Driven Parameterized Fiber Model based on GPT-PINN Neural Network"

4 / 4 papers shown
Title
GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward
  non-intrusive Meta-learning of parametric PDEs
GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward non-intrusive Meta-learning of parametric PDEs
Yanlai Chen
Shawn Koohy
PINNAI4CE
65
27
0
27 Mar 2023
Fast and Accurate Optical Fiber Channel Modeling Using Generative
  Adversarial Network
Fast and Accurate Optical Fiber Channel Modeling Using Generative Adversarial Network
Hang Yang
Zekun Niu
S. Xiao
Jiafei Fang
Zhiyang Liu
David Fainsin
L. Yi
GAN
32
48
0
28 Feb 2020
An Overview on Application of Machine Learning Techniques in Optical
  Networks
An Overview on Application of Machine Learning Techniques in Optical Networks
F. Musumeci
C. Rottondi
A. Nag
I. Macaluso
D. Zibar
Marco Ruffini
M. Tornatore
64
467
0
21 Mar 2018
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
1