Based on radial basis function neural network (RBF NN),the paper proposed a new algorithm for strip shape recognition. Compared with back propagation (BP) algorithm and improved least squares method (LSM), RBF NN shows excellent overall performance, such as learning speed, recognition precision and anti-interference capability. Copyright©2005IFAC Keyword: Strip Shape, Pattern Recognition, RBF,B...

Abstract. Spherical radial basis functions are used to define approximate solutions to pseudodifferential equations of negative orders on the unit sphere. These equations arise from geodesy. The approximate solutions are found by the collocation method. A salient feature of our approach in this paper is a simple error analysis for the collocation method using the same argument as that for the G...

In a recent paper [Multiscale Model. Simul., 5 (2006), pp. 996–1043], the author has introduced an analytical framework to study the convergence properties of some numerical homogenization methods for elliptic problems. In the applications however, these methods are coupled with windowing or oversampling techniques. In the present work, the author addresses this issue within the latter framewor...

We present a new finite element method for solving partial differential equations with singularities caused by abrupt changes in boundary conditions or sudden changes in boundary shape. Terms from the local solution supplement the ordinary basis functions in the finite element solution. All singular contributions reduce to boundary integrals after a double application of the divergence theorem ...

A novel approach, radial basis function (RBF) mixed with domain decomposition method (DDM) based on Galerkin finite element method (FEM) has been introduced in our previous work. The proposed method divides the computational domain into a series of rectangular sub-domains, and each sub-domain is taken as a separate calculation area to get the solution expression and shape function by using the ...

This paper is a review of research work of last few years on heat transfer growth in offset-strip fin heat exchangers. It features a broad discussion on the application of enhanced heat transfer surfaces to offset strip fin heat exchangers. In this paper we are discussing 2D & 3D Analysis in OSF, Experimental & investigating research on OSFs, Analytical model to predict the heat transfer coeffi...

In power systems, there are many uncertainty factors such as outputs of distributed generations and fluctuations loads. It is very beneficial to system analysis acquire an explicit function describing the relationship between these (namely parameters) states (or performances). This problem, termed parametric problem (PP) in this paper, can be solved by Galerkin method, which a powerful mathemat...

This paper is devoted to the numerical analysis of a control constrained distributed optimal problem subject time fractional diffusion equation with non-smooth initial data. The solutions state and co-state are decomposed into singular regular parts, some growth estimates obtained for parts. Following variational discretization concept, full applied corresponding equations by using linear confo...