LAUSR

An enhanced set-membership evolving participatory learning with kernel recursive least squares applied to thermal modeling of power transformers

Sign Up to like & get
recommendations!
0 Published in 2020 at "Electric Power Systems Research"

DOI: 10.1016/j.epsr.2020.106334

Abstract: Abstract A factor that directly impacts the lifespan of a power transformer is the hot-spot temperature, and its monitoring is vital to prevent faults, reduce costs, keep the safety, and provide a reliable service to… read more here.

Keywords: learning kernel; set membership; participatory learning; membership ... See more keywords

Kernel recursive maximum correntropy with Nyström approximation

Sign Up to like & get
recommendations!
0 Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.10.064

Abstract: Abstract Kernel adaptive filters (KAFs) with growing network structures incur high computational burden. Generally, sparsification methods are introduced to curb the growth of the filter structure under some threshold rules, resulting in a variable structure.… read more here.

Keywords: approximation; maximum correntropy; kernel recursive; recursive maximum ... See more keywords

Parametric output-only identification of time-varying structures using a kernel recursive extended least squares TARMA approach

Sign Up to like & get
recommendations!
0 Published in 2018 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2017.05.013

Abstract: Abstract The problem of parametric output-only identification of time-varying structures in a recursive manner is considered. A kernelized time-dependent autoregressive moving average (TARMA) model is proposed by expanding the time-varying model parameters onto the basis… read more here.

Keywords: time varying; kernel recursive; time; extended least ... See more keywords

Echo state kernel recursive least squares algorithm for machine condition prediction

Sign Up to like & get
recommendations!
0 Published in 2018 at "Mechanical Systems and Signal Processing"

DOI: 10.1016/j.ymssp.2018.03.047

Abstract: Abstract Kernel adaptive filter (KAF) has been widely utilized for time series prediction due to its online adaptation scheme, universal approximation capability and convexity. Nevertheless, KAF’s ability to handle temporal tasks is limited, because it… read more here.

Keywords: state; recursive least; least squares; kernel recursive ... See more keywords

Parsimonious Kernel Recursive Least Squares Algorithm for Aero-Engine Health Diagnosis

Sign Up to like & get
recommendations!
0 Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2882824

Abstract: Kernel adaptive filtering (KAF) has gained widespread popularity among the machine learning community for online applications due to its convexity, simplicity, and universal approximation ability. However, the network generated by KAF keeps growing with the… read more here.

Keywords: recursive least; least squares; health diagnosis; engine ... See more keywords

Kernel Recursive Generalized Maximum Correntropy

Sign Up to like & get
recommendations!
0 Published in 2017 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2017.2761886

Abstract: In this letter, a novel kernel adaptive algorithm, called kernel recursive generalized maximum correntropy algorithm (KRGMC), is derived in a kernel space and under the generalized maximum correntropy (GMC) criterion. The proposed kernel algorithm can… read more here.

Keywords: maximum correntropy; generalized maximum; recursive generalized; kernel recursive ... See more keywords

Sparsity-Constrained Kernel Recursive Generalized Maximum Versoria Criterion Algorithm

Sign Up to like & get
recommendations!
1 Published in 2023 at "IEEE Signal Processing Letters"

DOI: 10.1109/lsp.2023.3265604

Abstract: This letter proposes a novel random Fourier features (RFF) based sparsity-aware Kernel recursive adaptive filtering algorithm which employs generalized maximum Versoria criterion (GMVC) as an adaptation cost and generalized Versoria zero attraction (GVZA) as a… read more here.

Keywords: generalized maximum; versoria criterion; kernel recursive; sparsity ... See more keywords

The Kernel Recursive Maximum Total Correntropy Algorithm

Sign Up to like & get
recommendations!
1 Published in 2022 at "IEEE Transactions on Circuits and Systems II: Express Briefs"

DOI: 10.1109/tcsii.2022.3202800

Abstract: Focusing on the performance deterioration of nonlinear filtering algorithms in the error-in-variable (EIV) model, a nonlinear version of maximum total correntropy (MTC) algorithm called kernel recursive maximum total correntropy (KRMTC) is proposed in this brief,… read more here.

Keywords: recursive maximum; kernel recursive; algorithm; maximum total ... See more keywords