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A New Adaptive Algorithm for the Optimal Distribution of Computational Centers in the Meshless Multiquadric Method [PDF]
پژوهشهای زیرساختهای عمرانی, 2023 The computational centers in the multiquadric radial basis functions meshless method have high adaptability considering the lack of geometric and physical connection between the centers. In this research, a new adaptive algorithm is proposed based on the
Samira MohammadAlian +2 more
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The Shape Parameter in the Shifted Surface Spline—An Easily Accessible Approach
Mathematics, 2022 In this paper, we present an easily accessible approach to finding a suitable shape parameter in the shifted surface spline for function interpolation. We aim at helping more readers, including mathematicians and non-mathematicians, to use our method to ...
Lin-Tian Luh
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A Numerical solution for the new model of time-fractional bond pricing: Using a multiquadric approximation method [PDF]
Mathematics and Modeling in Finance, 2022 The bond market is an important part of the financial markets . The coupon bonds are issued by companies or banks for increasing capital , and the interest is paid by banks or companies, periodically . In terms of maturities , bonds are ...
Sedighe sharifian +2 more
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A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation
Mathematics, 2022 In this paper, we totally discard the traditional trial-and-error algorithms of choosing the acceptable shape parameter c in the multiquadrics −c2+∥x∥2 when dealing with differential equations, for example, the Poisson equation, with the RBF collocation ...
Lin-Tian Luh
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Mathematics, 2022 In this article, we propose a simplified radial basis function (RBF) method with exterior fictitious sources for solving elliptic boundary value problems (BVPs). Three simplified RBFs, including Gaussian, multiquadric (MQ), and inverse multiquadric (IMQ)
Chih-Yu Liu, Cheng-Yu Ku
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Mathematics, 2023 Elliptic boundary value problems (BVPs) are widely used in various scientific and engineering disciplines that involve finding solutions to elliptic partial differential equations subject to certain boundary conditions.
Chih-Yu Liu, Cheng-Yu Ku
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Partial Differential Equations in Applied Mathematics, 2021 The localized method is one of the popular approaches in solving large-scale problems in science and engineering. In this paper, we implement the localized method of particular solutions using polynomial basis functions for solving various nonlinear ...
T. Dangal +2 more
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A Novel Machine Learning Approach for Detection of Coronary Artery Disease Using Reduced Non-linear and Chaos Features [PDF]
International Journal Bioautomation, 2022 In this research paper, authors present an automated system in this paper that integrates a ranking technique with Principal Component Analysis (PCA), Generalized Discriminant Analysis (GDA) and a 1-Norm Bidirectional Extreme Learning Machine (1-NBELM ...
Ram Sewak Singh +4 more
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Journal of Inequalities and Applications, 2023 In this paper, a kind of bivariate Bernoulli-type multiquadric quasi-interpolation operator is studied by combining the known multiquadric quasi-interpolation operator with the generalized Taylor polynomial as the expansion in the bivariate Bernoulli ...
Ruifeng Wu
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Ilkom Jurnal Ilmiah, 2022 This study aims to analyze the implementation of the Extreme Learning Machine (ELM) Algorithm with Gray Level Co-Occurrence Matrix (GLCM) as an Image Feature Extraction method in identifying phosphorus deficiency in cocoa plants based on leaf ...
Basri Basri +3 more
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