青岛科技大学主页平台管理系统田文德--中文主页-- A Dynamic Active Safe Semi-Supervised Learning Framework for Fault Identification in Labeled Expensive Chemical Processes

A Dynamic Active Safe Semi-Supervised Learning Framework for Fault Identification in Labeled Expensive Chemical Processes: 点击次数：; 关键字：semi-supervised learning; active learning; feature selection; ontology; chemical process; fault identification; 卷号：8; 期号：1; 是否译文：否

上一条： Safety integrity level analysis of fluid catalytic cracking fractionating system based on dynamic simulation

下一条： A Hybrid Inverse Problem Approach to Model-Based Fault Diagnosis of a Distillation Column