Results 91 to 100 of about 2,738 (206)

Ore resource estimation based on radial based functions - Case study on União Luiz and Morro do Carrapato Gold Deposits (Alta Floresta Gold Province)

REM: International Engineering Journal
Radial basis functions can be used as an alternative method for mineral resource estimation when ordinary kriging cannot be done because it is impossible to calculate an experimental variogram.
Taís Celestino dos Santos, Jorge Kazuo Yamamoto   +1 more
doaj   +1 more source

The use of the mesh free methods (radial basis functions) in the modeling of radionuclide migration and moving boundary value problems [PDF]

, 2007
Recently, the mesh free methods (radial basis functions-RBFs) have emerged as a novel computing method in the scientific and engineering computing community.
Runovc, Franc, Turk, Goran, Vrankar, Leopold   +2 more
core  

Anisotropic Radial Basis Function Methods for Continental Size Ice Sheet Simulations

, 2017
In this paper we develop and implement anisotropic radial basis function methods for simulating the dynamics of ice sheets and glaciers. We test the methods on two problems: the well-known benchmark ISMIP-HOM B that corresponds to a glacier size ice and ...
Cheng, Gong, Shcherbakov, Victor
core   +1 more source

Scattered data approximation using radial basis function with a cubic polynomial reproduction for modelling leaf surface

Journal of Taibah University for Science, 2018
Realistic leaf models are significant for numerous applications in the plant sciences, for instance, modelling pesticide droplet movement on the leaf surface.
Moa’ath N. Oqielat
doaj   +1 more source

Deep Neural Networks with Spacetime RBF for Solving Forward and Inverse Problems in the Diffusion Process

Mathematics
This study introduces a deep neural network approach that utilizes radial basis functions (RBFs) to solve forward and inverse problems in the process of diffusion.
Cheng-Yu Ku, Chih-Yu Liu, Yu-Jia Chiu, Wei-Da Chen   +3 more
doaj   +1 more source

On the Numerical Solution of One-Dimensional Nonlinear Nonhomogeneous Burgers’ Equation

Journal of Applied Mathematics, 2014
The nonlinear Burgers’ equation is a simple form of Navier-Stocks equation. The nonlinear nature of Burgers’ equation has been exploited as a useful prototype differential equation for modeling many phenomena. This paper proposes two meshfree methods for
Maryam Sarboland, Azim Aminataei
doaj   +1 more source

Comparison of spatial interpolation methods and multi-layer neural networks for different point distributions on a digital elevation model

Geodetski Vestnik, 2013
Interpolation of a spatially continuous variable from point samples is an important field in spatial analysis and surface models for geosciences. In this study, spatial interpolation methods which are Inverse Distance Weighted (IDW), Ordinary Kriging (OK)
Kutalmis Gumus, Alper Sen
doaj   +1 more source

Random embedded calibrated statistical blind steganalysis using cross validated support vector machine and support vector machine with particle swarm optimization. [PDF]

Sci Rep, 2023
Shankar DD, Azhakath AS.
europepmc   +1 more source

A Gravity Forward Modeling Method based on Multiquadric Radial Basis Function [PDF]

Acta Geologica Sinica - English Edition, 2021
Yan LIU, Qingtian LV, Yao HUANG, Danian SHI, Guixiang MENG, Jiayong YAN, Yongqian ZHANG   +6 more
openaire   +1 more source

Fractional Black–Scholes Under Memory Effects: A Sixth-Order Local RBF–FD Scheme with Integrated Multiquadric Kernels

Axioms
In this work, a high-order meshless framework is developed for the numerical resolution of the temporal–fractional Black–Scholes equation arising in option pricing with long-memory effects.
Yutong Li, Mingqian Zhang, Ruosong Cao, Tao Liu, Xiaoxi Hu, Yakun Li   +5 more
doaj   +1 more source