In mathematics a radial basis function (RBF) is a real-valued function whose value depends only on the distance between the input and some fixed point, either ... Radial basis function kernel · RBF interpolation · Network |
| Функция радиального вида |  |
Радиальная базисная функция — функция из набора однотипных радиальных функций, используемых как функция активации в одном слое искусственной нейронной сети или как-либо ещё, в зависимости от контекста. Википедия
In machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms. |
26 мая 2010 г. · Radial basis functions are means to approximate multivariable (also called multivariate) functions by linear combinations of terms based on ... |
25 мая 2023 г. · Radial Basis Functions (RBF) are real-valued functions that use supervised machine learning (ML) to perform as a non-linear classifier. Its ... |
6 мая 2024 г. · The Radial Basis Function (RBF) kernel, also known as the Gaussian kernel, is one of the most widely used kernel functions. Radial Basis Function Kernel · Transforming Linear... |
Radial basis function methods are modern ways to approximate multivariate functions, especially in the absence of grid data. They have been known,. |
A radial basis function network is a type of artificial neural network that consists of three layers: input layer, hidden layer, and output layer. |
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