Results 31 to 40 of about 2,983,370 (285)
A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor
In this paper, a novel variable step size (VSS) incremental conductance (INC) method with an adaptive scaling factor is proposed. The proposed technique utilizes the model-based state estimation method to calculate the irradiance level and then determine
Man-Tsai Chuang, Yi-Hua Liu, Song-Pei Ye
doaj +1 more source
Research on Variable-Step-Size Adaptive Filter Algorithm with a Momentum Term
To address the contradiction between the convergence error and convergence rate in the LMS algorithm, this study proposes a variable-step-size adaptive filter algorithm with a momentum term based on the logistic function.
Binbin Li +7 more
doaj +1 more source
A kurtosis-driven variable step-size LMS algorithm
Published ...
Constantinides, AG, Pazaitis, DI
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Evaluation of second-level inference in fMRI analysis [PDF]
We investigate the impact of decisions in the second-level (i.e., over subjects) inferential process in functional magnetic resonance imaging on (1) the balance between false positives and false negatives and on (2) the data-analytical stability, both ...
Loeys, Tom +2 more
core +3 more sources
Efficient Test-based Variable Selection for High-dimensional Linear Models [PDF]
Variable selection plays a fundamental role in high-dimensional data analysis. Various methods have been developed for variable selection in recent years.
Gong, Siliang, Liu, Yufeng, Zhang, Kai
core +3 more sources
We propose a computationally intensive method, the random lasso method, for variable selection in linear models. The method consists of two major steps.
Nan, Bin +3 more
core +1 more source
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski +59 more
wiley +1 more source
Defect Analysis of a Non-Iterative Co-Simulation
This article presents an analysis of co-simulation defects for a system of coupled ordinary differential equations. The research builds on the theorem that the co-simulation error is bounded if the co-simulation defect is bounded.
Slaven Glumac, Zdenko Kovačić
doaj +1 more source
A fully implicit, fully adaptive time and space discretisation method for phase-field simulation of binary alloy solidification [PDF]
A fully-implicit numerical method based upon adaptively refined meshes for the simulation of binary alloy solidification in 2D is presented. In addition we combine a second-order fully-implicit time discretisation scheme with variable steps size ...
Jimack, P.K., Mullis, A., Rosam, J.
core +1 more source
A Variable Step-Size for Sparse Nonlinear Adaptive Filters
The paper deals with the identification of nonlinear systems with adaptive filters. In particular, adaptive filters for functional link polynomial (FLiP) filters, a broad class of linear-in-the-parameters (LIP) nonlinear filters, are considered. FLiP filters include many popular LIP filters, as the Volterra filters, the Wiener nonlinear filters, and ...
Carini A. +4 more
openaire +2 more sources

