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The application of neural network technology to formidable defense system data processing tasks promises advantages in speed, fault tolerance, and development ...
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Abstract: The author presents early results of preliminary experimental investigations of the performance of various trainable (back-propagation) networks ...
Sep 23, 2022 · The objective of this paper is to obtain a more accurate vision of how far the use of neural networks has penetrated into military and defense projects.
Applying deep learning techniques to expand defense capabilities
militaryembedded.com › deep-learning
Leveraging advanced data center computing techniques holds the promise of delivering powerful ways to solve complex defense mission challenges.
Apr 3, 2024 · During this time, neural networks have demonstrated successes on problems as varied as automatic recognition of handwritten digits, automated ...
Ultimately, CNN combined with RL techniques prove to be an efficient and viable method to train intelligent agents in military constructive simulations, and ...
Jan 11, 2024 · Graph Neural Networks have emerged as a promising approach for enhancing the effectiveness of defensive measures due to their ability to process and learn from ...
Jun 26, 2024 · The development of Deep Learning technology has profoundly impacted military development trends, leading to major changes in the forms and models of war.
Nov 13, 2024 · This thesis explores the development of neural network-based autonomous systems specifically tailored for strategic defense applications.
One emerging technology that has such potential is Artificial Neural Networks (ANN). Potential applications of ANN to combat simulation modeling are discussed.