ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2406.15959
  4. Cited By
A Nonoverlapping Domain Decomposition Method for Extreme Learning
  Machines: Elliptic Problems

A Nonoverlapping Domain Decomposition Method for Extreme Learning Machines: Elliptic Problems

22 June 2024
Chang-Ock Lee
Youngkyu Lee
Byungeun Ryoo
ArXivPDFHTML

Papers citing "A Nonoverlapping Domain Decomposition Method for Extreme Learning Machines: Elliptic Problems"

3 / 3 papers shown
Title
Orthogonal greedy algorithm for linear operator learning with shallow neural network
Ye Lin
Jiwei Jia
Young Ju Lee
Ran Zhang
34
1
0
06 Jan 2025
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable
  domain decomposition approach for solving differential equations
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
Benjamin Moseley
Andrew Markham
T. Nissen‐Meyer
PINN
40
207
0
16 Jul 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
232
75,445
0
18 May 2015
1