... network efficiency by using Chebyshev polynomials for input feature expansion and a radial basis function as the hidden-layer activation function of each SLFNN-ELM in the ensemble network. Findings The numerical results demonstrate that the proposed CH-EN-ELM method produces highly accurate solutions...

...Murat Arı; Yılmaz Dereli̇ Purpose The purpose of this study is to develop and evaluate the effectiveness of Radial Basis Function (RBF) collocation and quintic B-spline methods for solving the fractionally differentiable Good Boussinesq equation in the Caputo sense. By comparing numerical results...

...Filipe Lopes Cruzeiro; Lucas Silveira Campos; Luciano de Oliveira Castro Lara Purpose Radial basis function interpolation is a highly valuable tool in the field of numerical methods, and its polynomially augmented version holds promise in addressing some limitations of the traditional formulation...

... parameters. Design/methodology/approach The theoretical formulation is developed based on higher-order-zigzag theory in accordance with the radial basis function (RBF) and stochastic finite element (FE) model. A cubic function is considered for in-plane displacement over thickness while a quadratic...

... is to propose an efficient PMA-based reliability analysis technique using radial basis function (RBF). Design/methodology/approach – The RBF is adopted to approximate the implicit limit state functions in combination with latin hypercube sampling (LHS) strategy. The advanced mean value method is applied...