Comparison of different neural network topologies for non-linear classification [Comparacion de diferentes topologias de redes neuronales para clasificacion no-lineal]

  1. Menendez, C. 1
  2. Ordieres, J.B. 1
  3. Ortega, F. 1
  1. 1 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Revista:
Informacion Tecnolígica

ISSN: 0716-8756

Año de publicación: 1996

Volumen: 7

Número: 4

Páginas: 109-115

Tipo: Artículo

SCOPUS: 2-s2.0-0029706067 GOOGLE SCHOLAR

Otras publicaciones en: Informacion Tecnolígica

Resumen

Comparison of several neural network topologies, including different topology families for a case of non-linear clustering, is presented in this article. The discussion starts with a classification of neural network topologies and continues with a description of the characteristics of the most popular ones. A data base was chosen to evaluate the classification capacity, the effects of the different topologies and the learning conditions employed.