Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study
This article presents a comparison of artificial neural networks andneuro-fuzzy systems appliedfor modelling andcontrolling a real system. The main objective is to model and control the temperature inside of a kiln for the ceramic industry. The details of all system components are described. The ste...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2013
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10400.11/2135 |
| País: | Portugal |
| Oai: | oai:repositorio.ipcb.pt:10400.11/2135 |