Results 1 to 10 of about 1,175,505 (360)
Learning in Deep Radial Basis Function Networks [PDF]
EntropyLearning in neural networks with locally-tuned neuron models such as radial Basis Function (RBF) networks is often seen as instable, in particular when multi-layered architectures are used. Furthermore, universal approximation theorems for single-layered
Fabian Wurzberger, Friedhelm Schwenker
doaj +2 more sources
Radial Basis Function Finite Difference Method Based on Oseen Iteration for Solving Two-Dimensional Navier–Stokes Equations [PDF]
Entropy, 2023 In this paper, the radial basis function finite difference method is used to solve two-dimensional steady incompressible Navier–Stokes equations. First, the radial basis function finite difference method with polynomial is used to discretize the spatial ...
Liru Mu, Xinlong Feng
doaj +2 more sources
SINTESA EKSPRESI WAJAH DENGAN MENGGUNAKAN RADIAL BASIS FUNCTION NETWORK [PDF]
JUTI: Jurnal Ilmiah Teknologi Informasi, 2003 Pada penelitian yang sebelumnya [4] telah dilakukan penelitian tentang letak-letak (koordinat) facial characteristic points (FCP) yang digunakan sebagai dasar untuk mengenali ekspresi-ekspresi wajah manusia.
Wiwik Anggraeni, Handayani Tjandrasa
doaj +5 more sources
Radial basis function neural networks: a topical state-of-the-art survey
Open Computer Science, 2016 Radial basis function networks (RBFNs) have gained widespread appeal amongst researchers and have shown good performance in a variety of application domains. They have potential for hybridization and demonstrate some interesting emergent behaviors.
Dash Ch. Sanjeev Kumar +3 more
doaj +2 more sources
A Radial Basis Function Neural Network Approach to Predict Preschool Teachers' Technology Acceptance Behavior. [PDF]
Front Psychol, 2022 Rad D +11 more
europepmc +3 more sources
Mathematics, 2021 The study develops the displacement error recovery method in a mesh free environment for the finite element solution employing the radial point interpolation (RPI) technique. The RPI technique uses the radial basis functions (RBF), along with polynomials
Mohd. Ahmed +3 more
doaj +1 more source
A review of radial basis function with applications explored
Journal of the Egyptian Mathematical Society, 2023 Partial differential equations are a vital component of the study of mathematical models in science and engineering. There are various tools and techniques developed by the researchers to solve the differential equations.
Geeta Arora +3 more
semanticscholar +1 more source
Radial Basis Function Pseudospectral Method for Solving Standard Fitzhugh-Nagumo Equation [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 In this article, a pseudospectral approach based on radial basis functions is considered for the solution of the standard Fitzhugh-Nagumo equation. The proposed radial basis function pseudospectral approach is truly mesh free.
Geeta Arora, Gurpreet Singh Bhatia
doaj +1 more source
Entropy, 2022 In this paper, we present a fully Lagrangian method based on the radial basis function (RBF) finite difference (FD) method for solving convection–diffusion partial differential equations (PDEs) on evolving surfaces.
Nazakat Adil, Xufeng Xiao, Xinlong Feng
doaj +1 more source
Application of Basis Functions for Hull Form Surface Modification
Journal of Marine Science and Engineering, 2021 Basis functions are key in constructing interpolation equations in hull surface modification based on radial basis functions (RBF) interpolation. However, few have studied the selection of basis functions in depth.
Baiwei Feng +4 more
doaj +1 more source