Electric Machine Inverse Design with Variational Auto-Encoder (VAE)-Reference-Cited by-同舟云学术

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Electric Machine Inverse Design with Variational Auto-Encoder (VAE)

Published:2023-10-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Energy Conversion Congress and Exposition (ECCE)
language:
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Author:

Xu Yihao¹,Wang Bingnan²,Sakamoto Yusuke²,Yamamoto Tatsuya³,Nishimura Yuki³,Koike-Akino Toshiaki²,Wang Ye²

Affiliation:

1. Northeastern University,Mechanical and Industrial Engineering,Boston,MA,USA,02120

2. Mitsubishi Electric Research Laboratories (MERL),Cambridge,MA,USA,02139

3. Advanced Technology R&D Center,Mitsubishi Electric Corporation,Amagasaki, Hyogo,Japan,661-8661

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10361838/10361943/10362903.pdf?arnumber=10362903

Reference19 articles.

1. Modern Electrical Machine Design Optimization: Techniques, Trends, and Best Practices

2. A Hybrid Strategy for the Discovery and Design of Photonic Structures

3. Inverse design of acoustic metamaterials based on machine learning using a Gauss–Bayesian model

4. A deep learning approach for inverse design of gradient mechanical metamaterials

5. Spiking Neuron Models

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