Influence of wavelets and boundary conditions on the diagnosis of multiple sclerosis using artificial neural networks

Conference Object

Abstract: Artificial neural networks with radial basis functions are used to diagnose patients with multiple s

Palabras claves:

boundary conditions, Health Sciences, Multiple Sclerosis, Neural networks, Radial Basis Functions, Signal processing, wavelets

Autores:

Ángel García Gutiérrez

Fuentes:

scopus