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The integrated approach of combining the Taguchi method with radial basis function neural network (RBFNN) was proposed in this study to demand an optimum parameter design.
This paper presents a new fast approach for crack identification using vibration analysis based on model reduction using proper orthogonal decomposition method with radial basis function (POD-RBF).
For the 3D case there is very strong axial interface effect on fine mesh scale that has nothing to do with axial homogenization and cannot be captured by the traditional coarse mesh nodal method with radial pin power reconstruction.
The meshless local Petrov Galerkin (MLPG) method with radial basis functions (RBFs), and the higher order shear and normal deformable plate theory (HOSNDPT) are used to analyze static infinitesimal deformations of thick laminated composite elastic plates under different boundary conditions.
To compare the performance of our strategy with other classification methods, using the same data we produced classifiers with classical implementations of K nearest neighbours method (KNN), for K taking values from 1 to 5, Support Vector Machine (SVM) method, with radial basis, and standard CART method, as implemented in the R statistical platform in the libraries 'class', 'e1071' and 'rpart'rpart
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For prediction method, SVM with radial kernel outperformed the other methods regardless of algorithms used in the feature selection.
The basic idea consists in combining a parameterized level-set method together with radial basis function (RBF) interpolation strategy, which allows for decoupling RBF knots from the finite element (FE) analysis mesh.
This paper proposes an integrated multi-objective optimization method with GRA, radial basis function (RBF) neural network, and particle swarm optimization (PSO) algorithm.
In this paper, the Galerkin equivalent of Meshless Local Petrov Galerkin (MLPG) method with Exponential/Gaussian Radial basis function (EXP RBF) is used for the first time for solving the unconfined groundwater problem.
Borup's classifier was originally created on dataset A and was based on 76 differentially expressed genes and the SVM method with a radial kernel.
Based on the variation principle of the potential energy, the element-free Galerkin method is developed with radial basis function interpolations to solve Comeld™ joints two dimensional stress distributions.
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