Prof. George Angelos Anastassiou

Department of Mathematical Sciences

The University of Memphis, USA

Professor

Email: [email protected]

Qualifications

1984 Ph.D., University of Rochester, USA

1981 M.Sc., University of Rochester, USA

1975 B.Sc., Athens University, Greece

Publications (Selected)

1. Anastassiou, G. A., & Lupaş, A. A. (2026). Differential sandwich theorems for convolution product of Ruscheweyh operator and multiplier transformation. Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 120(1), 25.
2. Anastassiou, G. (2025). Positive Linear Framework for Neural Networks with Generalized Logistic Structure: Multivariate and Finite Domain Case. Approximation Theory and Special Functions, 1(1-2), 22-41.
3. Anastassiou, G. A. (2025). Composition of Activation Functions and the Reduction to Finite Domain. Mathematics, 13(19), 3177.
4. Anastassiou, G. A. (2025). Complete approximation by symmetrized and perturbed generalized logistic activated multidimensional convolutions in positive linear framework. Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 119(4), 96.
5. Anastassiou, G. A. (2025). Multivariate Neural Networks over infinite domain as Positive Linear Operators and a touch of measure theory. Moroccan Journal of Pure and Applied Analysis, 11(2), 134-156.
6. ANASTASSIOU, G. A., & KOULOUMPOU, D. (2025). FRACTIONAL VORONOVSKAYA ASYMPTOTIC EXPANSIONS BY QUASI-INTERPOLATION NEURAL NETWORK OPERATORS APPLIED TO BROWNIAN MOTION. Annals of Oradea University-Mathematics Fascicola, 32(2).
7. Anastassiou, G. A., Karateke, S., & Zontul, M. (2025). Univariate Neural Network Quantitative (NNQ) Approximation by Symmetrized Operators. Fractal and Fractional, 9(6), 365.
8. Anastassiou, G. A., Özalp Güller, Ö., Raiz, M., & Karateke, S. (2025). Approximation by Bicomplex Favard–Szász–Mirakjan Operators. Mathematics, 13(11), 1830.
9. Anastassiou, G. A. (2025). Symmetrized, Perturbed Hyperbolic Tangent-Based Complex-Valued Trigonometric and Hyperbolic Neural Network Accelerated Approximation. Mathematics, 13(10), 1688.
10. Anastassiou, G. A. (2025). Generalized Logistic Neural Networks in Positive Linear Framework. Symmetry, 17(5), 746.
11. Anastassiou, G. A. (2025). Neural network approximation over finite dimensional Banach spaces. Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales. Serie A. Matemáticas, 119(2), 1-17.
12. Anastassiou, G. A. (2025). Neural Networks as Positive Linear Operators. Mathematics, 13(7), 1112.
13. Anastassiou, G. A. (2025). Parameterized and Trigonometric Generated Quantitative Convergence of Smooth Picard Singular Integral Operators. In Advanced Studies in Nonlinear Dynamical Systems (pp. 1-18). Cham: Springer Nature Switzerland.
14. ANASTASSIOU, G. A. (2025). Approximation by symmetrized and perturbed hyperbolic tangent activated convolutions as positive linear operators. Modern Mathematical Methods, 3, 72-84.
15. ANASTASSIOU, G. A. (2025). FUZZY SYMMETRIZED AND PERTURBED NEURAL NETWORK APPROXIMATION. Neural, Parallel, and Scientific Computations, 33, 55-82.
16. ANASTASSIOU, G. A. (2025). GENERALIZED LOGISTIC NEURAL NETWORKS AS POSITIVE LINEAR OPERATORS OVER INFINITE DOMAIN. Neural, Parallel, and Scientific Computations, 33, 39-54.

Profile Details

https://www.memphis.edu/msci/people/ganastss.php

https://www.researchgate.net/profile/George-Anastassiou

https://scholar.google.com/citations?user=zK7VuoAAAAAJ&hl=en