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

Ferreira, P. M.; Faria, E. A.; Ruano, Antonio

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

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Authors

Ferreira, P. M.

Faria, E. A.

Ruano, Antonio

Abstract(s)

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.

Keywords

Neural Networks Greenhouse environmental control Modeling Radial Basis Functions

URI

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

Citation

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.