Training Sample Selection Strategy Applied to CNN in Magneto-Thermal Coupled Analysis-Reference-Cited by-同舟云学术

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Training Sample Selection Strategy Applied to CNN in Magneto-Thermal Coupled Analysis

Published:2021-06 Issue:6 Volume:57 Page:1-4
ISSN:0018-9464
Container-title:IEEE Transactions on Magnetics
language:
Short-container-title:IEEE Trans. Magn.

Author:

Gong Ruohan,Tang Zuqi^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Electronic, Optical and Magnetic Materials

Link

http://xplorestaging.ieee.org/ielx7/20/9432870/09350612.pdf?arnumber=9350612

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Neural-Network Model for Helping the Synthesis of a Dual-Frequency Induction Heating Device;2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC);2024-06-02

2. A Numerical Twin Model for the Coupled Field Analysis of TEAM Workshop Problem 36;IEEE Transactions on Magnetics;2023-05

3. Fast Magnetic Field Approximation Method for Simulation of Coaxial Magnetic Gears Using AI;IEEE Journal of Emerging and Selected Topics in Industrial Electronics;2023-01

4. A Numerical Twin Model for the Coupled Field Analysis of TEAM Workshop Problem 36;2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC);2022-10-24

5. Hot Spot Driven Physics-informed Neural Network via Special Designed Quantity of Interest applied to Magneto-thermal Analysis;2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC);2022-10-24

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