Application of radial basis function neural networks to a greenhouse inside air temperature model

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

http://hdl.handle.net/10400.1/2161

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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/10400.1/2161

Citation

Ferreira, P. M.; Ruano, A. E. Application of Radial Basis Function Neural Networks to a Greenhouse Inside Air Temperature Model. Trabalho apresentado em Int. Conf. on Modelling and Control in Agriculture, Horticulture and Post-Harvest Processing (IFAC Agricontrol 2000), In Int. Conf. on Modelling and Control in Agriculture, Horticulture and Post-Harvest Processing (IFAC Agricontrol 2000), Wageningen, 2000.