Results 41 to 50 of about 424,647 (298)
Nonlinear Intelligent Control of Two Link Robot Arm by Considering Human Voluntary Components
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
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Analyzing the Time Course of Pupillometric Data
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
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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
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Higher Order Mean Squared Error of Generalized Method of Moments Estimators for Nonlinear Models
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
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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
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Compatible Models of Carbon Content of Individual Trees on a Cunninghamia lanceolata Plantation in Fujian Province, China. [PDF]
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
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Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression [PDF]
Ordinary linear and generalized linear regression models relate the mean of a response variable to a linear combination of covariate effects and, as a consequence, focus on average properties of the response.
Fenske, Nora +2 more
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Large-scale Nonlinear Variable Selection via Kernel Random Features
We propose a new method for input variable selection in nonlinear regression. The method is embedded into a kernel regression machine that can model general nonlinear functions, not being a priori limited to additive models.
A Beck +20 more
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Generalized Regression Neural Network Based Predictive Model of Nonlinear System
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
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Method for nonlinear exponential regression analysis [PDF]
Two computer programs developed according to two general types of exponential models for conducting nonlinear exponential regression analysis are described.
Junkin, B. G.
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