radial basis functions approach
Support Vector approach by using Radial Kernel Function for Prediction of Software Maintenance Effort on the basis of Multivariate Approach
... SVM (Support Vector Machines) are a useful technique for data classification and regression. SVM is a learning system using a high dimensional feature space. It yields prediction functions that are expanded on a ...
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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 ...
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Coupling Projection Domain Decomposition Method and Meshless Collocation Method Using Radial Basis Functions in Electromagnetics
... of radial basis functions (RBFs) has undergone intensive research and enjoyed considerable success as a technique for interpolating multivariable data and functions ...This approach, ...
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Adopting the Multiresolution Wavelet Analysis in Radial Basis Functions to Solve the Perona-Malik Equation
... proper basis function as well as setting the linear system (symmetric or asymmetric) the rest is about finding and establishing the centers or ...adaptive approach to arrange the centers without working ...
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Radial basis functions in mathematical modelling of flow boiling in minichannels
... proposed approach considered two dimensions: dimension in the direction of the flow and dimension perpendicular to the flow, related to the thickness of the heated plate ( ), and to the depth of the ...
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Radial basis function (RBF)-based interpolation and spreading for the immersed boundary method
... a radial basis functions frame- work for the spreading-interpolation ...The radial basis function approach allows for dealing with a cloud of scattered nodes around the im- ...
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An adaptive meshless method of line based on radial basis functions
... of radial basis functions (RBFs) in the mesh- less methods, for numerical solution of various types of partial differential equations (PDEs) has been developed ...an approach that uses a mesh ...
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Evaluation of Financial Options Using Radial Basis Functions in Mathematica »
... this approach has some similarities with finite difference (FD) formulas, there are significant differences in that FD stencils typically extend over a subset of the data points at which derivative approximations ...
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Compact approximation stencils based on integrated flat radial basis functions
... This paper shows that by taking appropriate ways of constructing the approximations in the process of converting the RBF space into the physical space, compact local integrated RBF stencils based on one- and ...
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Towards an analysis of shear suspension flows using radial basis functions
... Particulate suspensions, which involve transport of rigid particles suspended in a fluid medium, occur in many industrial processes such as slurries, colloids, fluidised beds, etc. Due to their great structural and ...
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A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation
... ing radial basis functions (RBFs) to solve segmentation ...resulting approach retains some of the ideal features of implicit active contours, like topological adaptivity, while requiring low ...
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Numerical Analysis of the Boundary Effect of Radial Basis Functions in 3D Surface Reconstruction
... Again for each surface, we select δ = H , 3 H , 6 H and 10H and change the point number N. The corresponding Sq curves are plotted in Figure 7. When δ = H , Sq is very sensitive to the added point number N. A larger N is ...
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Compact approximation stencils based on integrated radial basis functions for fluid flows
... coupled approach has been used in (Tanner and Xue, 2002) for computing the transient flows with high elasticity, and in (Xue et ...coupled approach is more stable than decoupled one, but it leads to large ...
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Pseudo-differential operator associated to the radial basis functions under tension.
... second approach of Franke [12], for the construction of bivariate splines under tension, models a physical process of thin plate under ...The approach of Franke [12], is approximately parallel that the ...
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Mathematical Modeling with Local Volatility Surface by Radial Basis Function Approach
... used radial basis function method for solving options pricing model in 1999 ...especially radial basis functions approaches to observe share market ...by radial basis ...
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A Stable Algorithm for Divergence-Free and Curl-Free Radial Basis Functions in the Flat Limit
... scalar-valued radial kernels to construct vector-valued approximations to vector fields with divergence-free or curl-free ...na¨ıve approach for using RBFs to interpolate data collected from vector fields: ...
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A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation
... In Figure 4, we repeat the experiment of Figure 2, this time on a very noisy image corrupted by Gaussian white noise. Here the image was formed by setting the back- ground pixels to 0, the foreground pixels to 200, and ...
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A numerical approach on Hiemenz flow problem using radial basis functions
... on radial basis func- tions (RBF) has been considered as a powerful and prospective numerical method for the interpolation problems and solving differential equations of scat- tered ...A radial ...
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Rapid evaluation of radial basis functions
... new approach is required if the interpolant is not to be evaluated on a grid but at scattered ...other radial basis function) interpolant, thus initiating research in the construction of fast ...
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COMPARISON OF DETEMINISTIC INTERPOLATION METHODS FOR THE ESTIMATION OF GROUNDWATER LEVEL
... Figure 2 and 3 shows the spatial distribution of groundwater level for analyzed three time series in the study area obtained by Radial Basis Functions (with the multiquadric function) and Inverse ...
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