Affiliation:
1. Department of Mathematical Sciences, University of Memphis, Memphis, TN 38152, USA
Abstract
Here we study the quantitative multivariate approximation of perturbed hyperbolic tangent-activated singular integral operators to the unit operator. The engaged neural network activation function is both parametrized and deformed, and the related kernel is a density function on RN. We exhibit uniform and Lp, p≥1 approximations via Jackson-type inequalities involving the first Lp modulus of smoothness, 1≤p≤∞. The differentiability of our multivariate functions is covered extensively in our approximations. We continue by detailing the global smoothness preservation results of our operators. We conclude the paper with the simultaneous approximation and the simultaneous global smoothness preservation by our multivariate perturbed activated singular integrals.
Reference19 articles.
1. Anastassiou, G., and Mezei, R. (2012). Approximation by Singular Integrals, Cambridge Scientific Publishers.
2. Anastassiou, G.A. (2011). Approximation by Multivariate Singular Integrals, Springer. Briefs in Mathematics.
3. Remark on the degree of approximation of continuous functions by singular integrals;Gal;Math. Nachrichten,1993
4. Degree of approximation of continuous functions by some singular integrals;Gal;Rev. Anal. Numér. Théorie Approx.,1998
5. On the rate of convergence of singular integrals for Hölder continuous functions;Mohapatra;Math. Nachrichten,1990