Repositorio Dspace

Web didáctica para la aproximación de funciones mediante redes neuronales

Web didáctica para la aproximación de funciones mediante redes neuronales
 
Comabella López, Julio ; Solé-Casals, Jordi ; Hosseini, Sharam ; Jutten, Christian
2002

Texto completo de este documento

Icon
Nombre: artconlli_a2002_sole_casals_jordi_web_didactica.pdf
Tamaño: 126.7Kb
Formato: PDF
Enllaç permanent: http://hdl.handle.net/10854/3000
 

Resumen

In this article we presents a project [1] developed to demonstrate the capability that Multi-Layer Perceptrons (MLP) have to approximate non-linear functions [2]. The simulation has been implemented in Java to be used in all the computers by Internet [3], with a simple operation and pleasant interface. The power of the ...»»»»
In this article we presents a project [1] developed to demonstrate the capability that Multi-Layer Perceptrons (MLP) have to approximate non-linear functions [2]. The simulation has been implemented in Java to be used in all the computers by Internet [3], with a simple operation and pleasant interface. The power of the simulations is in the possibility of the user of seeing the evolutions of the approaches, the contribution of each neuron, the control of the different parameters, etc. In addition, to guide the user during the simulation, an online help has been implemented.^^^^

Tipo de documento:

Conferencia
 

Citación Bibliográfica:

J. Comabella, J. Solé-Casals, S. Hosseini, C. Jutten « WEB didáctica para la aproximación de funciones mediante redes neuronales », XVII Simposium de la Unión Científica Internacional de Radio URSI'2002, Universidad de Alcalá de Henares, Madrid, setembre de 2002.
 
 
 
 


Aquest document està subjecte a aquesta llicència Creative Commons Aquest document està subjecte a aquesta llicència Creative Commons

Buscar en RIUVic


Listar

Estadísticas