Proposed RBF-based multiscale control volume method
RBF-based multiscale control volume method for second order elliptic problems with oscillatory coefficients
... tional method, based on multiscale basis function approach and integrated radial- basis-function (IRBF) approximant, for the solution of multiscale elliptic problems with reduced computational ...
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An Anomaly-Based Method for DDoS Attacks Detection using RBF Neural Networks
... high volume of useless packets to victim simultaneously. The volume of sent packets is so high that the victim cannot response to them and then be ...detection method based on features ...
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Radial basis function (RBF)-based interpolation and spreading for the immersed boundary method
... techniques based on smooth mesh deformation ...element method (IFEM) proposed by Zhang et ...particle method (RKPM) Delta function. The immersed boundary method was historically ...
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CiteSeerX — Adaptive multiresolution finite volume discretization of the Variational Multiscale Method. General Framework.
... multiresolution- based grid adaptation ...not based on a poste- riori error estimates, typically not available for compressible flow equations, or residual- based criteria that do not allow for error ...
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Application in Composite Machine Using RBF Neural Network Based on PID Control
... Shin proposed an eccentric eccentricity compensation assessment and an adaptive method to eliminate the interference produced by the drum shape [7] ...PID control to reduce the system overshoot and ...
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RBF-based QP estimation model for VBR control in H.264/SVC
... the proposed VBR controller made better use of the buffer to provide PSNR and QP time evolutions closer to those of the nearly constant quality ...the proposed method made a proper use of the buffer ...
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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
... Cartesian-grid-based control-volume technique is proposed for the solution of second-order elliptic problems in one and two ...are based on two-node elements and expressed in terms of ...
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Sliding Mode Control based Support Vector Machine RBF Kernel Parameter Optimization
... the proposed technique are compared to those of anchor SVM and tabulated in Table ...the proposed technique generates significantly higher performance in term of accuracy and number of SVs than that of ...
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Design and Application of Discrete Sliding Mode Control with RBF Network-based Switching Law
... digital control system without fuzzy logic control (FLC) card, it usually reduces the FLC rule list to a deci- sion-making table with limited volume, thus further deteriorating its ...digital ...
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Sliding Mode Control based Support Vector Machine RBF Kernel Parameter Optimization
... Mode Control based Support Vector Machine Radial Basis Function’s kernel parameter optimization (SMC-SVM-RBF) method, inspired by sliding mode closed loop control theory, which has ...
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RBF-based supervisor path following control for ASV with time-varying ocean disturbance
... motion method, which greatly simplified the direct differential of tracking ...the control law for the desired angular velocity of the vehicle and virtual tracking point are built based on the ...
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RBF Neural Network Based Sliding Mode Control of a Lower Limb Exoskeleton Suit
... tracking control in order to eliminate uncertainties and ...mode control was a problem and, therefore, an RBF network based sliding mode control algorithm was introduced to tackle the ...
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4 The Proposed SFCM/RBF Training Method
... standard RBF and FCM/RBF net- work in terms of accuracy, learning speed and the network architecture by using training set which consists only 417 centers compared to 480 centers because significant data ...
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RBF Based CWENO Method
... scheme based on radial basis function (RBF) interpolation, which is applicable to scattered ...indicator, based on RBFs, and CWENO specific weights which depend on the mesh size of the grid to ...
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Multiscale RBF collocation for solving PDEs on spheres
... Galerkin method was used, has been collocation, mainly be- cause of the simplicity and the fact that there is no requirement for numerical integration, which is still a problematic issue in all meshfree ...the ...
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2 Optimal tracking control based on adaptive rbf neural network (Tc-rbf)
... Tracking Control, Nonlinear System, Liquid Level Systtem, Active Magnetic Bearing ...RACKING control for uncertain nonlinear systems with unknown disturbances is a challenging pro- blem [1] and ...the ...
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An Optimization Based Coupling Method For Multiscale Problems
... Since in the region with scale separation we obtain an approximation at a cost independent of the smallest scale in the problem, the computational cost of the multiscale method is signifi[r] ...
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Tourist traffic prediction method based on the RBF neural network
... are based on emo- tional management experience and macro-forecast, and there is no clear mathematical model, there is huge deviation between predicted value of tourist flow and its real value, and it is impossible ...
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Multiscale finite-volume method for density-driven flow in porous media
... MSFV method employs an auxiliary coarse grid, together with its dual, to define and solve a coarse- scale pressure ...other multiscale methods, it has the advantage of being based on the solution of ...
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RBF multiscale collocation for second order elliptic boundary value problems
... interpolation, RBF techniques have extensively been used to solve partial differential equations as well, see for example [14, 5, 9, 10, ...predominant method for solving partial differential equations ...
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