Online Diagnostics of Time-Varying Nonlinear Chemical Processes Using Moving Window Kernel Principal Component Analysis and Fisher Discriminant Analysis

Journal of Chemometrics - United Kingdom
doi 10.1002/cem.2866
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Wiley

Related search

Optimum Nonlinear Discriminant Analysis and Discriminant Kernel Support Vector Machine

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2016English

Face Recognition Using PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis) Techniques

IJARCCE
2015English

Statistical Properties of Kernel Principal Component Analysis

Machine Learning
Artificial IntelligenceSoftware
2007English

Kernel Principal Component Analysis of the Ear Morphology

2017English

Unsupervised Feature Selection Based on Kernel Fisher Discriminant Analysis and Regression Learning

Machine Learning
Artificial IntelligenceSoftware
2018English

Monitoring Nonlinear and Non-Gaussian Processes Using Gaussian Mixture Model-Based Weighted Kernel Independent Component Analysis

IEEE Transactions on Neural Networks and Learning Systems
Computer NetworksSoftwareComputer Science ApplicationsArtificial IntelligenceCommunications
2017English

Sea Surface Temperature Patterns in the Tropical Atlantic: Principal Component Analysis and Nonlinear Principal Component Analysis

Terrestrial, Atmospheric and Oceanic Sciences
EarthAtmospheric SciencePlanetary SciencesOceanography
2017English

Kernel Discriminant Analysis Using Triangular Kernel for Semantic Scene Classification

2009English

Enforcement of the Principal Component Analysis–extreme Learning Machine Algorithm by Linear Discriminant Analysis

Neural Computing and Applications
Artificial IntelligenceSoftware
2015English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy