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integrated RBF

High-order fluid solver based on a combined compact integrated RBF approximation and its fluid structure interaction applications

High-order fluid solver based on a combined compact integrated RBF approximation and its fluid structure interaction applications

... In this study, we present a high-order numerical method based on a combined compact integrated RBF (IRBF) approximation for viscous flow and fluid structure interaction (FSI) problems. In the method, the ...

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A direct forcing immersed boundary method employed with compact integrated RBF approximations for heat transfer and fluid flow problems

A direct forcing immersed boundary method employed with compact integrated RBF approximations for heat transfer and fluid flow problems

... In this paper, we introduce compact integrated RBF approximations into the immersed boundary and point-collocation framework to simulate viscous flows in two dimensions. The direct forcing immersed boundary ...

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ADI method based on C2-continuous two-node integrated-RBF elements for viscous flows

ADI method based on C2-continuous two-node integrated-RBF elements for viscous flows

... integrated-RBF elements for second-order elliptic problems, CMES: Computer Modeling in Engineering & Sciences 72 (2011) 299-334] are used for the discretisation of the diffusion terms, and then the ...

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A simple and effective preconditioner for integrated-RBF-based Cartesian-grid schemes

A simple and effective preconditioner for integrated-RBF-based Cartesian-grid schemes

... Integrated RBF networks (IRBFNs), which have the ability to avoid the reduction in convergence rate caused by differentiation, were successfully developed for the solution of partial differential equations ...

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A high-order compact integrated-RBF scheme for time-dependent problems

A high-order compact integrated-RBF scheme for time-dependent problems

... compact integrated-RBF stencils and second-order Adams-Bashforth/Crank-Nicolson algorithms for solving time-dependent problems, where emphasis is placed on the treatment of the extra information in the ...

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A Cartesian-grid integrated-RBF Galerkin technique

A Cartesian-grid integrated-RBF Galerkin technique

... proposed integrated- RBF Galerkin method, including the Galerkin formulation, 1D-IRBFN representations of the field variables and imposition of boundary ...

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A C2-continuous control-volume technique based on cartesian grids and two-node integrated-RBF elements for second-order elliptic problems

A C2-continuous control-volume technique based on cartesian grids and two-node integrated-RBF elements for second-order elliptic problems

... such RBF-based approximants are then in- tegrated to yield expressions for lower-order derivatives and eventually the function ...one-dimensional integrated RBFs (1D-IRBFs), point collocation and Cartesian ...

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Compact local integrated RBF stencil based on finite volume formulation for second-order differential problems

Compact local integrated RBF stencil based on finite volume formulation for second-order differential problems

... local integrated radial basis function (RBF) stencils (Mai-Duy and Tran- Cong, 2011) are incorporated into the finite-volume formulation for the discretisation of second- order differential ...compact ...

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High-order upwind methods based on C2-continuous two-node integrated-RBF elements for viscous flows

High-order upwind methods based on C2-continuous two-node integrated-RBF elements for viscous flows

... 2-node integrated radial basis function elements (IRBFEs) [CMES, ...Keywords: integrated-radial-basis-function elements, Cartesian grid, control vol- ume, subregion collocation, point collocation, local ...

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A high-order compact local integrated-RBF scheme for steady-state incompressible viscous flows in the primitive variables

A high-order compact local integrated-RBF scheme for steady-state incompressible viscous flows in the primitive variables

... The RBF approximations representing the field vari- able can be constructed through differentiation (DRBFNs) [Kansa (1990), Kansa, Power, Fasshauer, and Ling (2004)] and integration (IRBFNs) [Mai-Duy and Tran- ...

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Compact local integrated-RBF approximations for second-order elliptic differential problems

Compact local integrated-RBF approximations for second-order elliptic differential problems

... Many types of RBF, e.g. multiquadric and Gaussian, involve a free shape/width param- eter. Small and large values of the width make these RBFs peaked and flat, respectively. Numerical experiments show that the ...

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A cartesian-grid integrated-RBF method for viscoelastic flows

A cartesian-grid integrated-RBF method for viscoelastic flows

... Abstract. This paper is concerned with the use of integrated radial-basis-function networks (IRBFNs), Cartesian-grids and point collocation for numerically solving 2D flows of viscoelastic fluids. In the proposed ...

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Point-wise integrated-RBF-based discretisation of differential equations

Point-wise integrated-RBF-based discretisation of differential equations

... and integrated radial basis function networks (IRBFNs) for the solution of elliptic differential equations ...Keywords: Integrated RBFs, Point collocation, ...

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A new integrated-RBF-based domain-embedding scheme for solving fluid-flow problems

A new integrated-RBF-based domain-embedding scheme for solving fluid-flow problems

... Concluding remarks In this article, a new domain embedding scheme for the stream function - vorticity formulation using Cartesian grids and 1D-IRBFNs is reported.. Attractive features of[r] ...

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Design of radial basis function neural network controller for BLDC motor control system

Design of radial basis function neural network controller for BLDC motor control system

... Brushless DC(BLDC) motors are widely used for many industrial applications, In view of the problem that it is difficult to tune the parameters and get satisfied control characteristics by using normal conventional PID ...

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An incremental learning algorithm for the hybrid RBF BP network classifier

An incremental learning algorithm for the hybrid RBF BP network classifier

... of RBF network ...the RBF network is proposed in [13], which uses the novelty of incoming data as the learn- ing ...the RBF (GAP-RBF) is proposed in [16, 17]; this algorithm uses the ...

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A Stable Algorithm for Divergence-Free and Curl-Free Radial Basis Functions in the Flat Limit

A Stable Algorithm for Divergence-Free and Curl-Free Radial Basis Functions in the Flat Limit

... the RBF approximation to the underlying ...resulting RBF approxi- mation becomes horribly ill-conditioned as the basis functions are made flatter and ...scalar-valued RBF approximation, this was a ...

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Using the correlation criterion to position and shape RBF units for incremental modelling

Using the correlation criterion to position and shape RBF units for incremental modelling

... a RBF network model are how many RBF units to use, the positions (centres) of the RBF nodes, and the shapes (variances or covariance matrices) of the RBF ...sparse RBF models is the ...

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OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS 
FOR ONE MAGNETRON

OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON

... of RBF neural ...the RBF neural network’s connection weight values, which not only can play the generalization ability of RBF neural network greatly, but also can improve the convergence speed and ...

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SVM based Signature Verification by Fusing Global and Functional Features

SVM based Signature Verification by Fusing Global and Functional Features

... Global Feature Based Verification Using Nonlinear RBF kernel SVM Global Feature Based Verification Using Linear SVM Local Score Based Verification Using Nonlinear RBF kernel SVM Local Sc[r] ...

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