A Wind Speed Forecasting Method Based on Machine Learning for Operating Unguided Submunitions from a Cluster Munition-Reference-Cited by-同舟云学术

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A Wind Speed Forecasting Method Based on Machine Learning for Operating Unguided Submunitions from a Cluster Munition

Published:2024-05-22 Issue: Volume: Page:
ISSN:2093-274X
Container-title:International Journal of Aeronautical and Space Sciences
language:en
Short-container-title:Int. J. Aeronaut. Space Sci.

Author:

Lee Sung Jin,Kim Sang Gon,Kim Chan Gyu,Park Cheong Hee

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42405-024-00751-3.pdf

Reference25 articles.

1. CCM (2008) Convention on cluster munitions. https://www.clusterconvention.org. Accessed 21 August 2023

2. Clark D, Faust A, Jones A (2001) Common launch acceptability region task group. In: SAE Technical Paper Series, 200-01-2953

3. An SAE International Group (2008) Common launch acceptability region approach (CLARA) rationale document. In: SAE AIR5712 Rev. A

4. Yoon K, Park J, Kim I, Ryu K (2010) New modeling algorithm for improving accuracy of weapon launch acceptability region. In: DASC, IEEE/AIAA 29th, pp 6D4.1–6D4.6

5. Birkmire B (2011) Weapon engagement zone maximum launch range approximation using a multilayer perceptron. In: Dissertations, Wright State University

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