Neural Network Operator-Based Fractal Approximation: Smoothness Preservation and Convergence Analysis

This paper introduces the construction of fractal interpolation functions (FIFs), whose graphs are the attractors of an iterated function system (IFS). Integrating concepts from approximation theory, $α$-fractal functions are constructed, employing shallow neural network operators. Based on the same