Gaussian radial basis functions
Radial Basis Functions for the Solution of an Inverse Problem of Mixed Parabolic-Hyperbolic Type
... Abstract. In this paper, we consider an inverse problem of mixed parabolic-hyperbolic type. This in- verse problem related to finding the unknown right-hand side of the equation of mixed parabolic- hyperbolic type in a ...
16
On the optimal shape parameter for Gaussian radial basis function finite difference approximation of the Poisson equation
... In our experiments we used stencil supports generated by [3, Algorithm 1] which contain just 6 or 7 points as they are designed to compete with the finite element method based on linear shape functions. Therefore ...
29
Mathematical Modeling with Local Volatility Surface by Radial Basis Function Approach
... use radial basis function with some interpolation and also try to introduce different Radial basis functions such as Gaussian function, multi- quadratic function and thin plane ...
10
A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation
... by Gaussian white ...in Gaussian white noise of unit standard deviation, where the noise was then multiplied by ...the basis functions themselves are already quite ...
9
A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation
... of radial basis functions to achieve either a region-based or boundary-based image ...anisotropic basis functions for two reasons: first, they can better approximate sharp corners [4], ...
9
Novel Radial Basis Function Neural Networks based on Probabilistic Evolutionary and Gaussian Mixture Model for Satellites Optimum Selection
... on Radial Ba- sis Function Neural Network (RBFNN) to approximate the functions with high non-linear ...and Gaussian Mixture - of Gradient Descent (GD) in terms of the input feature ...a ...
11
Stable Gaussian radial basis function method for solving Helmholtz equations
... Radial basis functions (RBFs) have been used in many branches of science and ...smooth basis functions such as Gaussians or Multiquadric , the exponential convergence rate can be ...
14
A numerical approach on Hiemenz flow problem using radial basis functions
... propose radial basis functions (RBF) to solve the two dimensional flow of fluid near a stagnation point named Hiemenz ...using Gaussian radial basis function through the both ...
9
Compact approximation stencils based on integrated radial basis functions for fluid flows
... In Chapters 2 and 3, CLIRBF stencils are deployed in the context of point collo- cation methods, which we refer to as CLIRBF-PCM. In this Chapter, CLIRBF stencils will be introduced into the subregion-collocation ...
178
On spherical averages of radial basis functions
... a Gaussian random matrix if its elements are independent Gaussian random variables with mean zero and unit variance; see, for instance, Baxter and Iserles [2] or Edelman and Raj Rao ...this Gaussian ...
13
Pseudo-differential operator associated to the radial basis functions under tension.
... Abstract. Radial basis functions under tension (RBFT) depend on a positive parameter, incorporate the concept of spline with tension and provide a convenient way for the control of the behavior of ...
11
Eigenvalue Analysis of Spherical Resonant Cavity Using Radial Basis Functions
... on radial basis function (RBF) collocation to solve three-dimensional scalar Helmholtz equation in rectangular coordinates and analyze the eigenvalues of spherical resonant ...
8
Towards an analysis of shear suspension flows using radial basis functions
... decades, radial basis functions (RBFs), proven to be universal approximators, have been developed and applied to solve different types of differential problems encountered in applied mathematics, ...
35
Compact approximation stencils based on integrated flat radial basis functions
... Radial basis functions (RBFs) have become one of the main fields of research in numerical analysis. It is theoretically proved that RBF networks having one hidden layer are capable of universal ...
33
Classification of aircraft images using different architectures of radial basis function neural network : a performance comparison
... classification performance of Goal Oriented Radial Basis Architecture, Generalized Gaussian. Neural Network Architecture and Probabilistic Neural Network Architecture is [r] ...
16
Radial basis functions for the sphere
... Hubbert, Simon and Baxter, Brad J.C. (2001) Radial basis functions for the sphere. In: Haussmann, W. and Jetter, K. and Reimer, M. (eds.) Recent Progress in Multivariate Approximation. 4th ...
18
GAUSSIAN RADIAL GROWTH
... The organization of the paper is as follows: in the first section, we introduce the Gaussian radial growth model. Then, we study the induced distributions of object size and shape under the radial ...
10
Evolutionary Algorithms to Compute the Optimal Parameters of Gaussian Radial Basis Adaptive Backstepping Control for Chaotic Systems
... Abstract In this paper, evolutionary algorithms are proposed to compute the optimal parameters of Gaussian Radial Basis Adaptive Backstepping Control (GRBABC) for chaotic systems. Generally, ...
7
Compact approximation stencils based on integrated radial basis functions for fluid flows
... grated radial basis function (CLIRBF) stencils and its verification in the simula- tion of Newtonian and non-Newtonian fluid flows governed by the streamfunction- vorticity ...
20
Numerical Analysis of the Boundary Effect of Radial Basis Functions in 3D Surface Reconstruction
... Surface reconstruction is very important for surface characterization and graph processing. Radial basis function has now become a popular method to reconstruct 3D surfaces from scattered data. However, it ...
6