In mathematics a radial basis function (RBF) is a real-valued function φ {\textstyle \varphi } whose value depends only on the distance between the input...

mathematical modeling, a radial basis function network is an artificial neural network that uses radial basis functions as activation functions. The output of the...

In machine learning, the radial basis function kernel, or RBF kernel, is a popular kernel function used in various kernelized learning algorithms. In...

Radial basis function (RBF) interpolation is an advanced method in approximation theory for constructing high-order accurate interpolants of unstructured...

In mathematics, a basis function is an element of a particular basis for a function space. Every function in the function space can be represented as...

In mathematics, a radial function is a real-valued function defined on a Euclidean space ⁠ R n {\displaystyle \mathbb {R} ^{n}} ⁠ whose value at each...

radial basis functions. Given a set of control points { c i , i = 1 , 2 , … , K } {\displaystyle \{c_{i},i=1,2,\ldots ,K\}} , a radial basis function...

feedforward networks. Radial basis functions are functions that have a distance criterion with respect to a center. Radial basis functions have been applied...

space of functions in which point evaluation is a continuous linear functional. Specifically, a Hilbert space H {\displaystyle H} of functions from a set...

special class of activation functions known as radial basis functions (RBFs) are used in RBF networks. These activation functions can take many forms, but...

random feature matrices of size O ( D N ) {\textstyle O(DN)} . The radial basis function (RBF) kernel on two samples x i , x j ∈ R d {\displaystyle x_{i}...

S2CID 53715158. Approximation theory Fitness approximation Kriging Least squares (function approximation) Radial basis function network v t e v t e...

mainly with interpolation and approximation of functions and data by polynomials and radial basis functions (RBFs)). Stefano De Marchi studied Bachelor's...

patterns in the feature space. Bell-shaped function Cauchy distribution Normal distribution Radial basis function kernel Squires, G. L. (2001-08-30). Practical...

{\displaystyle \nu } is an integer limiting values should be taken, (see ). Radial basis function Genton, Marc G. (1 March 2002). "Classes of kernels for machine...

basis Hilbert's basis theorem Generating set of a group Base (topology) Change of basis Greedoid Normal basis Polynomial basis Radial basis function Standard...

distance weighting Natural-neighbor interpolation Spline interpolation Radial basis function interpolation Barnes interpolation Bilinear interpolation Bicubic...

distance through a Gaussian RBF, obtains the hidden layer of a radial basis function network. This use of k-means has been successfully combined with...

activation functions have been proposed, including the rectifier and softplus functions. More specialized activation functions include radial basis functions (used...

(2010). "Prediction of Parkinson's disease tremor onset using radial basis function neural networks". Expert Systems with Applications. 37 (4): 2923...

{\displaystyle k} K ( x , x k ) {\displaystyle K(x,x_{k})} is the Radial basis function kernel (Gaussian kernel) as formulated below. K ( x , x k ) = e...

_{j})=(\mathbf {x} _{i}\cdot \mathbf {x} _{j}+r)^{d}} . Gaussian radial basis function: k ( x i , x j ) = exp ⁡ ( − γ ‖ x i − x j ‖ 2 ) {\displaystyle...

(statistics) Lagrange interpolation Missing data Newton–Cotes formulas Radial basis function interpolation Simple rational approximation Smoothing Sheppard,...

A polyharmonic spline is a linear combination of polyharmonic radial basis functions (RBFs) denoted by φ {\displaystyle \varphi } plus a polynomial term:...

Pointed space, a topological space with a distinguished point Radial basis function, a function depending only on the distance from the origin Madsen, David...

Park, J.; Sandberg, I. W. (1991). "Universal Approximation Using Radial-Basis-Function Networks". Neural Computation. 3 (2): 246–257. doi:10.1162/neco...

Rangierbahnhof, a railway marshalling yard in Germany Radial basis function in mathematics Radial basis function kernel or RBF kernel Random Block File, an OS-9...

modeling Hierarchical modulation Hierarchical proportion Hierarchical radial basis function Hierarchical storage management Hierarchical task network Hierarchical...

Hybrid Forward Algorithm (HFA) can be used for the construction of radial basis function (RBF) neural networks with tunable nodes. The RBF neural network...

visual recognition problems, which became known as "deep learning". Radial basis function and wavelet networks were introduced in 2013. These can be shown...