Evolutionary multiobjective design of radial basis function networks for greenhouse environmental control
In this work a multiobjective genetic algorithm is applied to the identi cation of radial basis function neural network coupled models of humidity and temperature in a greenhouse. Models are built as one-step-ahead predictors and then used iteratively to produce long term predictions. The number of...
| Autor principal: | |
|---|---|
| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
|
| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/2344 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2344 |