Comparison of on-line learning algorithms for RBF models in greenhouse environmental control problems


Autoria(s): Ferreira, P. M.; Faria, E. A.; Ruano, A. E.
Data(s)

31/01/2013

31/01/2013

2000

28/01/2013

Identificador

Ferreira, P. M.; Ruano, A. E. Comparison of on-line learning algorithms for RBF models in greenhouse environmental control problems, Trabalho apresentado em 4º Encontro Português de Controlo Automático (Controlo’00), In 4º Encontro Português de Controlo Automático (Controlo’00), Guimarães, 2000.

AUT: ARU00698;

http://hdl.handle.net/10400.1/2158

Idioma(s)

eng

Direitos

restrictedAccess

Palavras-Chave #Neural Networks #Greenhouse environmental control #Modeling #Radial Basis Functions
Tipo

conferenceObject

Resumo

The problem with the adequacy of radial basis function neural networks to model the inside air temperature as a function of the outside air temperature and solar radiation, and the inside relative humidity in an hydroponic greenhouse is addressed.