Universal Approximation by Ridge Computational Models and Neural Networks: A Survey
Marcello Sanguineti · The Open Applied Mathematics Journal · 2008
Computational models made up of linear combinations of ridge basis functions, widely used in machine learning and artificial intelligence, are considered.For such models, the literature on the so-called "universal approximation property" is surveyed.Different approaches, proof techniques, and tools are examined.