Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations-Reference-Cited by-同舟云学术

Supervised Machine Learning for Effective Missile Launch Based on Beyond Visual Range Air Combat Simulations

Published:2022-12-11 Issue: Volume: Page:
ISSN:
Container-title:2022 Winter Simulation Conference (WSC)
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Author:

Dantas Joao P. A.¹,Costa Andre N.¹,Medeiros Felipe L. L.¹,Geraldo Diego¹,Maximo Marcos R. O. A.²,Yoneyama Takashi³

Affiliation:

1. Institute for Advanced Studies,Decision Support Systems Subdivision,Sao Jose dos Campos,SP,BRAZIL,12228-001

2. Aeronautics Institute of Technology,Autonomous Computational Systems Lab (LAB-SCA),Sao Jose dos Campos,SP,BRAZIL,12228-900

3. Aeronautics Institute of Technology,Electronic Engineering Division,Sao Jose dos Campos,SP,BRAZIL,12228-900

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10015196/10015230/10015384.pdf?arnumber=10015384

Reference48 articles.

1. Situation and Threat Assessment in BVR Combat

2. Artificial Neural Networks: An Introduction

3. Cooperative Occupancy Decision Making of Multi-UAV in Beyond-Visual-Range Air Combat: A Game Theory Approach

4. Decision Support System for Unmanned Combat Air Vehicle in Beyond Visual Range Air Combat Based on Artificial Neural Networks;filho;Journal of Aerospace Technology and Management,2021

5. Multi-UAV Air Combat Weapon-Target Assignment Based On Genetic Algorithm And Deep Learning

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