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http://dx.doi.org/10.5762/KAIS.2021.22.6.305

Artificial Intelligence based Threat Assessment Study of Uncertain Ground Targets  

Jin, Seung-Hyeon (Korea Research Institute for Defense Technology Planning and Advancement)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.22, no.6, 2021 , pp. 305-313 More about this Journal
Abstract
The upcoming warfare will be network-centric warfare with the acquiring and sharing of information on the battlefield through the connection of the entire weapon system. Therefore, the amount of information generated increases, but the technology of evaluating the information is insufficient. Threat assessment is a technology that supports a quick decision, but the information has many uncertainties and is difficult to apply to an advanced battlefield. This paper proposes a threat assessment based on artificial intelligence while removing the target uncertainty. The artificial intelligence system used was a fuzzy inference system and a multi-layer perceptron. The target was classified by inputting the unique characteristics of the target into the fuzzy inference system, and the classified target information was input into the multi-layer perceptron to calculate the appropriate threat value. The validity of the proposed technique was verified with the threat value calculated by inputting the uncertain target to the trained artificial neural network.
Keywords
Artificial Intelligence; Fuzzy Logic; Multi Layer Perceptron; Threat Assessment; Ground Targets;
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Times Cited By KSCI : 1  (Citation Analysis)
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