Neuro-fuzzy modelling of a plant growth in a hydroponic greenhouse
This paper deals with the modeling of dry matter production in a hydroponic greenhouse. Identification techniques are applied for the modeling, based on fuzzy logic and B-spline neural networks, for two growth models. For the design of these models subtractive clustering, the ASMOD algorithm and gen...
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.1/2257 |
| País: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/2257 |