Research on Ground-to-Air Missile Fitting Algorithm Based on Deep BP Neural Network-Reference-Cited by-同舟云学术

Research on Ground-to-Air Missile Fitting Algorithm Based on Deep BP Neural Network

Published:2022-11-18 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cyber-Physical Social Intelligence (ICCSI)
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Author:

Peng Wei¹,Lv Zhigang²,He Chuchao²

Affiliation:

1. College of Arms Science and Technology Xi'an Technological University,Xi'an,China,710021

2. School of Electronic Information Engineering Xi'an Technological University,Xi'an,China,710021

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9970567/9970555/09970659.pdf?arnumber=9970659

Reference23 articles.

1. Research on launch envelopes simulation of air-to-air missile attacking high maneuvering targets based on BP neural network [J];meng;Journal of Projectiles Rockets Missiles and Guidance,2017

2. The solution of air-to-air missile launch envelopes based on the improved BP neural network[J];wang;Electronic Design Engineering,2014

3. Research on air-to-air missile launch envelops with BP neural network based on cross entropy[C];zhou;Proceedings of the Eighth China Command and Control Conference,0

4. Evaluation of missile environmental worthiness and countermeasure based on BP neural network[J];xu;Equipment Environmental Engineering,2012

5. Verifiable Adaptive Flight Control: Unmanned Combat Aerial Vehicle and Aerial Refueling

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