Optimization of a Solid Rocket Motor Design Through Neural Network-Assisted Performance Prediction-Reference-Cited by-同舟云学术

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Optimization of a Solid Rocket Motor Design Through Neural Network-Assisted Performance Prediction

Published:2023-12 Issue:6 Volume:59 Page:8769-8781
ISSN:0018-9251
Container-title:IEEE Transactions on Aerospace and Electronic Systems
language:
Short-container-title:IEEE Trans. Aerosp. Electron. Syst.

Author:

Lee Hyung Suk¹^ORCID,Ko Seung Cheol¹^ORCID,Kwon Soon Wook¹^ORCID,Lee Joon Sang¹^ORCID

Affiliation:

1. Yonsei University, Seoul, South Korea

Funder

National Research Foundation of Korea

Ministry of Science and ICT, South Korea

Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Aerospace Engineering

Link

http://xplorestaging.ieee.org/ielx7/7/10353051/10239466.pdf?arnumber=10239466

Reference33 articles.

1. Genetic algorithms in aerospace design: Substantial progress, tremendous potential;Anderson;Brussels: NATO/Von Karmen Inst. Workshop Intell. Syst.,2002

2. Design Optimization of Solid Rocket Propulsion: A Survey of Recent Advancements

3. Solid Rocket Motor Performance Matching Using Pattern Search/Particle Swarm Optimization

4. An integrated approach for optimization of solid rocket motor

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