We introduce radial basis functions (RBFs) whose time-varying coefficients determine not only the amplitude and position of each RBF but also their shape.
We introduce radial basis functions (RBFs) whose time-varying coefficients determine not only the amplitude and position of each RBF but also their shape.
Apr 5, 2021 · In this paper, we estimate the dynamic parameters of a time-varying coefficient model through radial kernel functions in the context of a longitudinal study.
In this paper, we take advantage of the grid free property of the methods and use an adaptive algorithm to choose the location of the collocation points.
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Feb 27, 2021 · In this paper we estimate the dynamic parameters of a time-varying coefficient model through radial kernel functions in the context of a longitudinal study.
Aug 15, 2014 · We introduce radial basis functions (RBFs) whose time-varying coefficients determine not only the amplitude and position of each RBF but also ...
We introduce radial basis functions (RBFs) whose time-varying coefficients determine not only the amplitude and position of each RBF but also their shape.
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Aug 1, 2014 · We introduce radial basis functions (RBFs) whose time-varying coefficients determine not only the amplitude and position of each RBF but also ...
This paper presents a complex valued radial basis function (RBF) network for equalization of fast time varying channels. A new method for calculating the ...
Jan 2, 2024 · We develop a stability theory for global radial basis function methods using the general framework of summation-by-parts operators.