Mesh-free radial basis function network methods with domain decomposition for approximation of functions and numerical solution of Poisson's equations

This paper presents the combination of new mesh-free radial basis function network (RBFN) methods and domain decomposition (DD) technique for approximating functions and solving Poisson's equations. The RBFN method allows numerical approximation of functions and solution of partial differential...

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Bibliographic Details
Published in:	Engineering analysis with boundary elements Vol. 26; no. 2; pp. 133 - 156
Main Authors:	Mai-Duy, Nam, Tran-Cong, Thanh
Format:	Journal Article
Language:	English
Published:	Oxford Elsevier Ltd 01.02.2002 Elsevier
Subjects:	Boundary integral equations Computational techniques Computers in experimental physics Domain decomposition Exact sciences and technology Function approximation Instruments, apparatus, components and techniques common to several branches of physics and astronomy Mathematical methods in physics Mesh-free radial basis function network methods Neural networks, fuzzy logic, artificial intelligence Physics Poisson's equation Poisson's equation Function approximation Domain decomposition Mesh-free radial basis function network methods Boundary integral equations Meshed network Partial differential equations Boundary conditions Poisson equation Boundary integral method Numerical method Function decomposition Finite element method Integral equations Neural networks Meshless method Coarse grain structure Modelling Memory effect
ISSN:	0955-7997, 1873-197X
Online Access:	Get full text
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