Comparative analysis in function approximation with neural networks and some basic polynomials
Kostadin Yotov, Emil N. Hadzhikolev, Stanka Hadzhikoleva, Margarita Terziyska · Filomat · 2024
Choosing the appropriate approximation method is a crucial step in solving a broad class of problems. It affects both the quality of the solutions obtained and the efficiency of the computational process. The article presents a study of various approximation cases with a speci?c group of polynomials and feedforward arti?cial neural networks. A comparative analysis of the results obtained has been conducted.