Parameter and Topology Optimization Method for IPM Motors using Multimodal Neural Network-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Parameter and Topology Optimization Method for IPM Motors using Multimodal Neural Network

Published:2024-06-02 Issue: Volume:776 Page:1-2
ISSN:
Container-title:2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC)
language:
Short-container-title:

Author:

Iwata Kazuhisa¹,Sasaki Hidenori²,Igarashi Hajime³,Nakagawa Daisuke⁴,Ueda Tomoya⁴

Affiliation:

1. Graduate School of Science and Engineering, Hosei University,Koganei,Japan

2. Hosei University,Department of Electrical and Electronic Engineering,Koganei,Japan

3. Graduate School of Information Science and Technology, Hokkaido University,Sapporo,Japan

4. Research and Development Center, Nidec Corporation,Kawasaki,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10585268/10585609/10586033.pdf?arnumber=10586033

Reference7 articles.

1. Novel Hybridization of Parameter and Topology Optimizations: Application to Permanent Magnet Motor

2. Generalization Performance in Predicting Torque Characteristics Using Convolutional Neural Network and Stator Magnetic Flux

3. Fast Topology Optimization for PM Motors Using Variational Autoencoder and Neural Networks With Dropout

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP