Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data | Zendy

Namsu Ahn | Zendy; Jaewoong Kim | Zendy; Minsu Kim | Zendy; Jonggill Lee | Zendy

Open Access

Case study on quality prediction of the ammunition stockpile reliability program based on a small amount of discontinuous data

Author(s) -

Namsu Ahn,

Jaewoong Kim,

Minsu Kim,

Jonggill Lee

Publication year - 2019

Publication title -

journal of advances in military studies

Language(s) - English

Resource type - Journals

eISSN - 2636-1329

pISSN - 2635-5531

DOI - 10.37944/jams.v2i1.39

Subject(s) - ammunition , stockpile , reliability (semiconductor) , reliability engineering , matrix (chemical analysis) , markov chain , quality (philosophy) , bayes' theorem , computer science , function (biology) , markov process , stochastic matrix , operations research , data mining , mathematical optimization , mathematics , bayesian probability , engineering , statistics , artificial intelligence , machine learning , materials science , philosophy , composite material , biology , power (physics) , epistemology , quantum mechanics , evolutionary biology , nuclear physics , physics , metallurgy

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