Comparison of on-line learning algorithms for RBF models in greenhouse environmental control problems
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.
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| Other Authors: | , |
| Format: | conferenceObject |
| Language: | eng |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10400.1/2158 |
| Country: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2158 |