Neural network models in greenhouse air temperature prediction
The adequacy of radial basis function neural networks to model the inside air temperature of a hydroponic greenhouse as a function of the outside air temperature and solar radiation, and the inside relative humidity, is addressed. As the model is intended to be incorporated in an environmental contr...
| Main Author: | |
|---|---|
| Other Authors: | , |
| Format: | article |
| Language: | eng |
| Published: |
2002
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10316/4081 |
| Country: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/4081 |