Výsledky vyhľadávania - semi-supervised convolutional variational autoencoder▼aTennessee Eastman process▼aunlabeled data*

Fault diagnosis for high-dimensional complex processes using semi-supervised deep convolutional generative models ; 준지도학습 심층 생성 모델을 활용한 공정 고장 분류

Autori: Ko, Taeyoung Kim, Heeyoung 김희영 a ďalší

Prispievatelia: Ko, Taeyoung Kim, Heeyoung 김희영 a ďalší

Predmety: convolutional auxiliary deep generative model▼amultivariate time series, semi-supervised convolutional variational autoencoder▼aTennessee Eastman process▼aunlabeled data, 합성곱 보조변수 심층 생성 모델▼a다변수 시계열▼a준지도학습 합성곱 변분 오토인코더▼a테네시 이스트만 공정▼a레이블이 없는 데이터

Relation: 843192; http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=843192&flag=dissertation; http://hdl.handle.net/10203/266236; 325007; 1935

Dostupnosť: http://hdl.handle.net/10203/266236
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=843192&flag=dissertation