[1] D. Chen, Research on traffic flow prediction in the big data environment based on the improved
RBF neural network, IEEE Trans. Ind. Inform. 13 (2017) 2000–2008.
[2] T.A. Driscoll, B. Fornberg, Interpolation in the limit of increasingly flat radial basis functions,
Comput. Math. Appl. 43 (2002) 413–422.
[3] G.E. Fasshauer, Meshfree Approximation Methods with MATLAB, World Scientific, 2007.
[4] B. Fornberg, N. Flyer, A Primer on Radial basis Functions with Applications to the Geosciences,
SIAM, 2015.
[5] B. Fornberg, E. Larsson, N. Flyer, Stable computations with Gaussian radial basis functions, SIAM
J. Sci. Comput. 33 (2011) 869–892.
[6] B. Fornberg, E. Lehto, C. Powell, Stable calculation of Gaussian-based RBF-FD stencils, Comput.
Math. Appl. 65 (2013) 627–637.
[7] B. Fornberg, C. Piret, A stable algorithm for flat radial basis functions on a sphere, SIAM J. Sci.
Comput. 30 (2007) 60–80.
[8] B. Fornberg, G. Wright, Stable computation of multiquadric interpolants for all values of the shape
parameter, Comput. Math. Appl. 48 (2004) 853–867.
[9] B. Fornberg, G. Wright, E. Larsson, Some observations regarding interpolants in the limit of flat
radial basis functions, Comput. Math. Appl. 47 (2004) 37–55.
[10] B. Fornberg, J. Zuev, The Runge phenomenon and spatially variable shape parameters in RBF
interpolation, Comput. Math. Appl. 54 (2007) 379–398.
[11] P. Gonzalez-Rodriguez, M. Moscoso, M. Kindelan, Laurent expansion of the inverse of perturbed,
singular matrices, J. Comput. Phys. 299 (2015) 307–319.
[12] R. L. Hardy, Multiquadric equations of topography and othephysical research, 76 (1971) 1905–1915.
[13] M.K. Esfahani, A. Neisy, S. De Marchi, An RBF approach for oil futures pricing under the jump-
diffusion model, J. Math. Model. 9 (2021) 81–92.
[14] E. Larsson, B. Fornberg. Theoretical and computational aspects of multivariate interpolation with
increasingly flat radial basis functions, Comput. Math. Appl. 49 (2005) 103–130.
[15] W.R. Madych, Miscellaneous error bounds for multiquadric and related interpolators, Comput.
Math. Appl. 24 (1992) 121–138.
[16] M. Mongillo, Choosing basis functions and shape parameters for radial basis function methods,
SIAM undergraduate research online, 4 (2011) 190–209.
[17] R. Schaback, Error estimates and condition numbers for radial basis function interpolation, Adv.
Comput. Math. 3 (1995) 251–264.
[18] R. Schaback, Multivariate interpolation by polynomials and radial basis functions, Constr. Approx.
21 (2005) 293–317.
[19] F. Soleymani, Sh. Zhu. Error and stability estimates of a time-fractional option pricing model under
fully spatial-temporal graded meshes, J. Comput. Appl. Math. 425 (2023) 115075.
[20] H. Wendland, Scattered Data Approximation, Cambridge University Press, 2004.
[21] G. B. Wright, B. Fornberg, Stable computations with flat radial basis functions using vector-valued
rational approximations, J. Comput. Phys. 331 (2017) 137–156.
[22] Y. Wu, X. Sun, Optimization and simulation of enterprise management resource scheduling based
on the radial basis function (RBF) neural network, Comput. Intell. Neurosci. 2021 (2021) 6025492