Simon Fraser University

Statistical Models

where y i is the ith observed response value, x i is the ith vector of explanatory values, and 's are uncorrelated random variables with zero mean and a common variance. If the form of the regression ...
GitHub

JoeEberle/principal_component_analysis_sn

Principal Component Analysis Sn - Principal Component Analysis (PCA) is a dimensionality reduction technique that transforms a large set of variables into a smaller set of uncorrelated variables ...
IEEE

Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-Based Input–Output Decoupled Networks

Abstract: Structural decoupling has played an essential role in model-based fault isolation (FI) and estimation in past decades, which facilitates accurate fault localization and reconstruction thanks ...
IEEE

Generation of Uncorrelated Residual Variables for Chemical Process Fault Diagnosis via Transfer Learning-Based Input-Output Decoupled Networks

Abstract: Structural decoupling has played an essential role in model-based fault isolation and estimation in past decades, which facilitates accurate fault localization and reconstruction thanks to ...