Suchergebnisse - "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

Autoren: Ko, Taeyoung Kim, Heeyoung 김희영 et al.

Weitere Verfasser: Ko, Taeyoung Kim, Heeyoung 김희영 et al.

Schlagwörter: 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

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