Neural Network Prediction of Discharge Current using Plume Shape and Operational Parameters in Hall Thrusters-Reference-Cited by-同舟云学术

Neural Network Prediction of Discharge Current using Plume Shape and Operational Parameters in Hall Thrusters

Published:2021 Issue:0 Volume:20 Page:47-51
ISSN:1884-0477
Container-title:AEROSPACE TECHNOLOGY JAPAN, THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES
language:en
Short-container-title:AEROSPACE TECHNOLOGY JAPAN, THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES

Author:

Kawazu Masato,Fuchigami Hirotaka,Yamamoto Naoji,Tamida Taichiro

Publisher

Japan Society for Aeronautical and Space Sciences

Link

https://www.jstage.jst.go.jp/article/astj/20/0/20_JSSAS-D-20-00027/_pdf

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4. 5) Hamada, Y., Bak, J., Kawashima, R., Koizumi, H., Komurasaki, K., Yamamoto, N., Egawa, Y., Funaki, I., Iihara, S., Cho, S., Kubota, K., Watanabe, H., Fuchigami, K., Tashiro, Y., Takahata, Y., Kakuma, T., Furukubo, Y. and Tahara, H.: Hall Thruster Development for Japanese Space Propulsion Programs, Trans. Jpn. Soc. Aeronaut. Space Sci., 60 (2017), pp. 320-326.

5. 6) Valentian, D. and Maslennikov, N.: The PPS 1350 Program, Proc. 25th IEPC, October 1997, 134, pp. 855-861.

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