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In this paper, a decentralized radial basis function neural network (RBFNN) based controller for load frequency control (LFC) in a deregulated power system is presented using the generalized model for LFC scheme according to the possible contracts.
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The measured creep compliances at every test temperature were modeled using the generalized Kelvin model with two Kelvin elements, which provided excellent model fitting with R2 values larger than 0.99.
We then fit the following model using the generalized linear model with the logit link function in the R programming language: (11) Duplication ∼ log(Degree Centrality) + Duplicated Neighbors + log(Degree Centrality) : Duplicated Neighbors The response was coded as 0 or 1, corresponding to absence or presence of a duplicate paralog from the given WGD, respectively.
The analysis of individual Likert scale outcomes was modeled using the generalized linear model (GLM) for multinomial outcomes.
To examine dose response relationships between arsenic and BP, we refit regression models using the generalized additive model in R (R Project for Statistical Computing, Vienna, Austria).
Trends in space and time were also modeled using the generalized additive model (GAM) in R using the MGCV (http://cran.r-project.org/web/packages/mgcv/index.html) library version 1.6-1.
Linear models were compared with additive models with smoothing splines using the generalized additive model (GAM) function in the MGCV R package (http://www.R-project.org) and linearity was confirmed.
This model form is executed using the generalized linear model procedure PROC GENMOD in the SAS statistical software [19].
To evaluate factors that affected the timing and rate of transition, we fitted logistic regression models to the data using the generalized linear model function (glm) in R version 3.0.2 (Vienna, Austria).
A computational model of decitabine-response was built using the generalized linear model for logistic regression.
This model was fitted to the measured data using the generalized linear model (GLM) approach.
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