Open AccessCase 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 -
seonjin gukbang yeongu
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