Results 91 to 100 of about 7,354 (203)

Kernel Principal Component Analysis for Allen–Cahn Equations

Mathematics
Different researchers have analyzed effective computational methods that maintain the precision of Allen–Cahn (AC) equations and their constant security.
Yusuf Çakır, Murat Uzunca
doaj   +1 more source

A dynamic prediction method for coal seam thickness based on the KPCA-PSO-SVR model

Meitian dizhi yu kantan
Objectives and MethodsWith the development of high-precision and intelligent seismic exploration techniques, it is necessary to accurately quantify and interpret coal seam thickness to provide reliable data for constructing high-precision three ...
Tun YANG, Shugang YE, Ming MA, Qianyao WANG   +3 more
doaj   +1 more source

A Hybrid Process Monitoring and Fault Diagnosis Approach for Chemical Plants

International Journal of Chemical Engineering, 2015
Given their potentially enormous risk, process monitoring and fault diagnosis for chemical plants have recently been the focus of many studies. Based on hazard and operability (HAZOP) analysis, kernel principal component analysis (KPCA), wavelet neural ...
Lijie Guo, Jianxin Kang
doaj   +1 more source

Photovoltaic Short-Term Output Power Forecast Model Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise–Kernel Principal Component Analysis–Long Short-Term Memory

Energies
To solve the problem of photovoltaic power prediction in areas with large climate changes, this article proposes a hybrid Long Short-Term Memory method to improve the prediction accuracy and noise resistance.
Lan Cao, Haoyu Yang, Chenggong Zhou, Shaochi Wang, Yingang Shen, Binxia Yuan   +5 more
doaj   +1 more source

Clasificación de cáncer de mama con técnicas de análisis de la componente principal-Kernel PCA, algoritmos de máquina de vectores de soporte y regresión logística

Medisur, 2022
Fundamento: existen muchas herramientas computacionales para administrar imágenes y conjuntos de datos; reducir la dimensión de estos favorece el manejo de la información.Objetivo: reducir la dimensión de un conjunto de datos para un mejor manejo de la ...
Rosana Pirchio
doaj  

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval

IEEE Access
Fault detection and diagnosis (FDD) systems play a crucial role in maintaining the adequate execution of the monitored process. One of the widely used data-driven FDD methods is the Principal Component Analysis (PCA).
Mohammed Tahar Habib Kaib, Abdelmalek Kouadri, Mohamed-Faouzi Harkat, Abderazak Bensmail, Majdi Mansouri   +4 more
doaj   +1 more source

Kernelized design of experiments [PDF]

This paper describes an approach for selecting instances in regression problems in the cases where observations x are readily available, but obtaining labels y is hard.
Rüping, Stefan, Weihs, Claus
core  

Predicting the External Corrosion Rate of Buried Pipelines Using a Novel Soft Modeling Technique

Applied Sciences
External corrosion poses a significant threat to the integrity and lifespan of buried pipelines. Accurate prediction of corrosion rates is important for the safe and efficient transportation of oil and natural gas.
Zebei Ren, Kun Chen, Dongdong Yang, Zhixing Wang, Wei Qin   +4 more
doaj   +1 more source

An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model

Energies
This paper proposes a hybrid forecasting method (VMD–KPCA–xLSTM–Informer) based on variational-mode decomposition (VMD), kernel principal component analysis (KPCA), extended long short-term memory network (xLSTM), and the Informer model.
Jiawen You, Huafeng Cai, Dadian Shi, Liwei Guo   +3 more
doaj   +1 more source

KPCA for Thrust Vectoring Systems Exhibiting Singular Points

This paper considers a class of thrust vectoring systems, which are nonlinear, overactuated, and time-invariant. We assume that the system is composed of two subsystems and there exist singular points around which the linearized system is uncontrollable. Furthermore, we assume that the system is stabilizable through a two-level control allocation.
Nguyen, Tam W., Han, Kyoungseok, Hirata, Kenji   +2 more
openaire   +2 more sources