Application of radial basis function neural networks to a greenhouse inside air temperature model
| Data(s) |
31/01/2013
31/01/2013
2000
28/01/2013
|
|---|---|
| Identificador |
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. AUT: ARU00698; |
| 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. |
