Solution of the second and fourth order differential equations using irbfn method
Abstract
In this paper we introduce presents a numerical approach, based on radial basis function networks (RBFNS), for the approximation of a function and its derivatives (scattered data interpolation), The proposed approach here is called the indirect radial basis function network (IRBFN) to solve second and fourth order differential equations the procedure can start with the second derivative. First, the second order derivative is approximated by a RBFN, then the first order derivative is obtained by integration. Finally the original function is similarly obtained, i.e. by integrating the first derivative function. This second method is here referred to as the second indirect method or IRBFN2 likewise fourth -grade derivative IRBFN4
References
References: [1] Nam Mai-Duy, Thanh Tran-Cong. (2003): Approximation of function and its derivatives using radial basis function networks. Applied Mathematical Modelling, QLD 4350. [2] Mai-Duy, N. and Tran-Cong, T. (2001) “Numerical solution of differential equations using multiquadric radial basis function networks”, Neural Networks, Vol 14 No 2, pp. 185-99.
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