Genetic assisted selection of RBF model structures for greenhouse inside air temperature prediction
This paper presents results on the application of Multi-Objective Genetic Algorithms to the selection of Radial Basis Function Neural Networks structures. The neural networks are to be incorporated in a real-time predictive greenhouse environmental control strategy, as' predictors of the inside...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Texto completo: | http://hdl.handle.net/10400.1/2282 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2282 |