Combat simulation using continuous time neural networks
This paper focuses on modeling the behavior of commanders in a combat simulation. A military mission is often associated with multiple conflicting goals, including task success, completion time, enemies’ elimination, and own forces survival. In this paper, considering defensive and non-defensive sce...
Main Authors: | Mohammad Moghaddas, Hamid Bigdeli |
---|---|
Format: | Article |
Language: | English |
Published: |
Command and Staff University
2018-11-01
|
Series: | آیندهپژوهی دفاعی |
Subjects: | |
Online Access: | http://www.dfsr.ir/article_34280_b0184bbc635bd0d74d4279840f8a5d48.pdf |
Similar Items
-
A Study on the Combat Effect and Components of Intangible Combat Force
by: Jangryul Kim, et al.
Published: (2022-08-01) -
Continuous Decision-making Method for Autonomous Air Combat
by: SHAN Shengzhe, et al.
Published: (2022-10-01) -
Sparse neural network optimization by Simulated Annealing
by: Ercan Engin Kuruoglu, et al.
Published: (2023-09-01) -
Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences
by: Alejandro Humberto García Ruiz, et al.
Published: (2021-02-01) -
Unmanned air combat oriented command and control simulation evaluation research
by: LI Yaoyu, JIN Shuai, MA Manhao, REN Wei
Published: (2024-02-01)