Predicting marital dissolutions using radial basis function neural networks

Guillén, Alberto; Tovar, Carlos Axel Díaz; Herrera, José Benavente; Pomares, H.; González, Jesús; Guillén, José Francisco Oliver; Rojas, Ignacio

doi:10.1109/ijcnn.2010.5596691

Cited by 4 publications

(1 citation statement)

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“…38 RBF interpolation has been used in many applications and, as a subject in its own right, [36][37][38][39][40][41][42][43][44][45] has been used in a variety of ways. The fundamental principal of RBF interpolation is to weight the contributions of a cloud of chosen control points, based on radial distance to the position of interpolation.…”

Section: A Data Transfer Problemmentioning

confidence: 99%

RBF Interpolation Interface Method Applied to Structured Multiblock Euler Solver

Allenand

Costin

2012

42nd AIAA Fluid Dynamics Conference and Exhibit

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Allowing non-matching interfaces in a computational solver offers significant flexibility, and the potential to simplify the mesh generation process and reduce the number of required cells. A universal meshless interpolation method, suitable for data interpolation across non-matching interfaces, is presented here. The method is based on radial basis function volume interpolation and is applicable to data transfer in any computational mechanics solver, in any number of dimensions. Previous work has considered analytical test cases and scalar wave propagation problems, transferring data across non-matching mesh boundaries, and the cost and achievable spatial order of convergence considered. The method is here implemented into a structured multiblock finite-volume flow solver, and implementation issues discussed. Internal and external two-dimensional test cases are considered with discontinuous mesh spacing across block boundaries. A spatial order of convergence study is presented for an aerofoil case, and it is shown that including a discontinuous interface does not affect the solution accuracy or the order of convergence.

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