[PDF] Top 20 L (p) error estimates for radial basis function interpolation on the sphere
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L (p) error estimates for radial basis function interpolation on the sphere
... Birkbeck ePrints: an open access repository of the research output of Birkbeck College http://eprints.bbk.ac.uk.. Hubbert, Simon; Morton, Tanya M.[r] ... See full document
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A RADIAL BASIS FUNCTION PARTITION OF UNITY METHOD FOR TRANSPORT ON THE SPHERE
... where D represents the RBF-PUM discretization of the the advection operator u · (P ∇) (see Eq. (1.13)). A necessary condition for stability of this formulation is that the eigenvalues of −D must be in the ... See full document
75
Error bound for radial basis interpolation in terms of a growth function
... It is remarkable that both h- and p-convergence happen for the same approximation method (1). Indeed, the estimate (4) is correct for all q and Y, and we do not need to know their optimal values in practice. This ... See full document
9
Lp Error estimate for minimal norm SBF interpolation
... established error bound for the minimal norm interpolation on a ...the error bound between the best approximation and the target function via L p ... See full document
9
Adaptive Radial Basis Function Detector for Beamforming
... by-sample basis for the sake of maintaining a low real-time computational ...bit error rate (NLBER), which directly minimises an approximate detection error probability or bit error rate ... See full document
6
Mathematical Modeling with Local Volatility Surface by Radial Basis Function Approach
... absolute error. From table (1) the average absolute error for general radial basis function is ...absolute error for general radial basis function is ... See full document
10
Radial Basis Function Assisted Turbo Equalization
... of error propagation degraded the performance of the Jacobian RBF DFE TEQ by 7 dB at a BER of , when we compared the Jacobian RBF DFE TEQ’s correct feedback-based and de- cision-feedback-assisted performance after ... See full document
12
Options pricing under the one dimensional jump diffusion model using the radial basis function interpolation scheme
... (3) The standard approach to solving the radial basis function interpolation problem has been recognised as ill conditioned for many years [cf. 21, chap- ter 16], particularly when infinitely ... See full document
26
Symmetric Radial Basis Function Network Equaliser
... A block-data based algorithm is developed for the con- struction of the symmetric RBF equaliser using the orthog- onal forward selection (OFS) procedure combined with the Fisher ratio of class separability measure ... See full document
5
Designing and implementing a system for Automatic recognition of Persian letters by Lip-reading using image processing methods
... The radial basis function have categorized these phonemes, which ultimately achieved the desired results in the categorization of the ...than radial basis function artificial ... See full document
10
Function Approximation Using Robust Radial Basis Function Networks
... loss function is the quadratic function corresponding to a Gaussian noise model with zero mean, and a standard deviation that does not depend on the ...loss function is used popularly as it has nice ... See full document
9
A Review On The Hybrid Approaches For Wind Speed Forecasting
... and radial basis function neural network (RBFN) by Wang, Zhang, Wang, Han and Kong provides better prediction accuracy ...the radial basis function and in the error ... See full document
7
An RBF scheme for option pricing in exponential Levy models
... of L 2 -projections, and thus belongs to the class of collocation ...well-localized basis functions, the radial basis function ϕ can have non-compact support, and will in many cases ... See full document
28
Computation of transient viscous flows using indirect radial basis function networks
... The boundary condition ψ = 0 along the bound- aries can be used directly to solve (14) for the ve- locity field, while one needs to derive computa- tional boundary conditions for the vorticity trans- port equation (13). ... See full document
20
Approximation of function and its derivatives using radial basis function networks
... Squared Error-Optimal Linear Combinations of Trained Feedfor- ward Neural Netwoks (MSE-OLC), for an approximation of the function and its deriva- ... See full document
48
Classifying ReachOut posts with a radial basis function SVM
... the ith point is misclassified. The C parameter af- fects the tradeoff between training error and model complexity. A small C tends to produce a simpler model, at the expense of possibly underfitting, while a ... See full document
5
Face Recognition by Radial Basis Function Network (RBFN)
... In the first experiment, 200 images of 40 different persons have taken. Each person has 5 images. After training process, different levels of noise have been added with the 200 images and then taken as test images. Next, ... See full document
6
Radial Basis Function Networks for Conversion of Sound Spectra
... of Radial Basis Function Networks (RBFN) is proposed for the modeling of the spectral changes (or conversions) related to the control of important sound parameters, such as pitch or ...for ... See full document
9
Radial basis function (RBF)-based interpolation and spreading for the immersed boundary method
... on radial basis functions ...an interpolation-spreading process defined on a scattered cloud of nodes; ii) the weights of the RBF are calculated in- dependently from the velocity of the nodes ...both ... See full document
29
Meshless local radial point interpolation (MLRPI) to two dimensional wave equation with Neumann’s boundary conditions
... as basis functions in the interpolation is one of the earliest interpolation ...continuous function u(x) defined in a domain Ω, which is represented by a set of field ... See full document
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