Neural Network Operator-Based Fractal Approximation: Smoothness Preservation and Convergence Analysis
This work uses key approximation theory tools, such as the modulus of continuity and interpolation operators, to develop convergence results and uniform approximation error bounds, and to validate the theoretical results obtained, numerical experiments with graphical analysis using Python are provided.