大连理工大学主页平台管理系统刘涛--中文主页-- Semi-Supervised Learning Based Calibration Modeling of Near-Infrared Spectroscopy for Monitoring 1,3-Propanediol Fermentation Process Components

论文成果

Semi-Supervised Learning Based Calibration Modeling of Near-Infrared Spectroscopy for Monitoring 1,3-Propanediol Fermentation Process Components

点击次数：
发表时间：2024-10-29
发表刊物：Chinese Control Conference, CCC
文献类型：A
页面范围：3553-3558
ISSN号：1934-1768
关键字：3-propanediol; 3-propanediol fermentation; Atomic emission spectroscopy; Calibration; Calibration model; Calibration model for near-infrared spectroscopy; Expectation maximization algorithm; Expectations maximization algorithms; Image segmentation; Infrared: spectroscopy; Maximum likelihood estimation; Near-infrared; Near Infrared; Orthogonal space-time block coded systems; Principal Components; Probabilistic principal component regression; Probabilistics; Regression analysis; Self-supervised learning; Semi-supervised learning

上一条：梯度提升最小二乘支持向量回归的压电执行器磁滞特性建模

下一条： Automatic Labeling of In-Situ Crystal Images based on Lightweight Network Bisenetv2

刘涛 var u_u6_pic = new ImageScale("u_u6_",140,140,true,true);u_u6_pic.addimg("/_resources/group1/M00/00/93/ynZMhGXeji6ANR3AAASL6c3Zigs551.jpg","","刘涛","10006");