Results 31 to 40 of about 423,513 (317)

An R library for nonlinear black-box system identification

open access: yesSoftwareX, 2020
The Nonlinear AutoRegressive with eXogenous inputs (NARMAX) models are among the most general classes of mathematical abstractions for dynamic systems and has many successful applications os data-driven modeling in different fields.
Helon Vicente Hultmann Ayala   +2 more
doaj   +1 more source

Nonlinear Intelligent Control of Two Link Robot Arm by Considering Human Voluntary Components

open access: yesSensors, 2022
This paper proposes a nonlinear intelligent control of a two link robot arm by considering human voluntary components. In general, human arm viscoelastic properties are regulated in different manners according to various task requirements.
Mingcong Deng   +2 more
doaj   +1 more source

Bartlett and Bartlett-type corrections in heteroscedastic symmetric nonlinear regression models [PDF]

open access: yesAnais da Academia Brasileira de Ciências, 2022
This paper provides general expressions for Bartlett and Bartlett-type correction factors for the likelihood ratio and gradient statistics to test the dispersion parameter vector in heteroscedastic symmetric nonlinear models.
MARIANA C. ARAÚJO   +2 more
doaj   +1 more source

High-dimensional Structured Additive Regression Models: Bayesian Regularisation, Smoothing and Predictive Performance [PDF]

open access: yes, 2009
Data structures in modern applications frequently combine the necessity of flexible regression techniques such as nonlinear and spatial effects with high-dimensional covariate vectors. While estimation of the former is typically achieved by supplementing
Fahrmeir, Ludwig   +2 more
core   +1 more source

Soft Sensor Modeling Method for the Marine Lysozyme Fermentation Process Based on ISOA-GPR Weighted Ensemble Learning

open access: yesSensors, 2023
Due to the highly nonlinear, multi-stage, and time-varying characteristics of the marine lysozyme fermentation process, the global soft sensor models established using traditional single modeling methods cannot describe the dynamic characteristics of the
Na Lu, Bo Wang, Xianglin Zhu
doaj   +1 more source

Analyzing the Time Course of Pupillometric Data

open access: yesTrends in Hearing, 2019
This article provides a tutorial for analyzing pupillometric data. Pupil dilation has become increasingly popular in psychological and psycholinguistic research as a measure to trace language processing.
Jacolien van Rij   +4 more
doaj   +1 more source

The effect of total cholesterol/high-density lipoprotein cholesterol ratio on mortality risk in the general population

open access: yesFrontiers in Endocrinology, 2022
BackgroundThe relationship between the total cholesterol/high-density lipoprotein cholesterol (TC/HDL-C) ratio and all−cause and cardiovascular mortality has not been elucidated.
Dan Zhou   +6 more
doaj   +1 more source

Higher Order Mean Squared Error of Generalized Method of Moments Estimators for Nonlinear Models

open access: yesDiscrete Dynamics in Nature and Society, 2014
Generalized method of moments (GMM) has been widely applied for estimation of nonlinear models in economics and finance. Although generalized method of moments has good asymptotic properties under fairly moderate regularity conditions, its finite sample ...
Yi Hu   +3 more
doaj   +1 more source

Compatible Models of Carbon Content of Individual Trees on a Cunninghamia lanceolata Plantation in Fujian Province, China. [PDF]

open access: yesPLoS ONE, 2016
We tried to establish compatible carbon content models of individual trees for a Chinese fir (Cunninghamia lanceolata (Lamb.) Hook.) plantation from Fujian province in southeast China.
Lin Zhuo   +3 more
doaj   +1 more source

Generalized Regression Neural Network Based Predictive Model of Nonlinear System

open access: yesTELKOMNIKA Indonesian Journal of Electrical Engineering, 2014
Generalized Regression Neural Network (GRNN) is usually applied to the Function approximation. This paper, based on the principle of GRNN, presents a method for the predictive model of nonlinear complex system. The presented algorithm is applied to the learning and predicting process for the system modeling.
Yibin Song, Zhenbin Du
openaire   +1 more source

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