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Application of radial basis function neural networks to a greenhouse inside air temperature model
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Orientador(es)
Resumo(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.
Descrição
Palavras-chave
Neural Networks Greenhouse Environmental Control Modeling Radial Basis Functions
Contexto Educativo
Citação
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.