Publication
Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study
| dc.contributor.author | Vieira, José Barros | |
| dc.contributor.author | Dias, Fernando | |
| dc.contributor.author | Mota, Alexandre | |
| dc.date.accessioned | 2013-12-02T17:03:46Z | |
| dc.date.available | 2013-12-02T17:03:46Z | |
| dc.date.issued | 2004 | |
| dc.description.abstract | 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 steps taken to arrive at the direct and inverse models using the two architectures: adaptive neuro fuzzy inference system and feedforward neural networks are described and compared. Finally, real-time control results using internal model control strategy are resented. Using available Matlab software for both algorithms, the objective is to show the implementation steps for modelling and controlling a real system. Finally, the performances of the two solutions were comparedthrough different parameters for a specific real didactic case | por |
| dc.identifier.citation | VIEIRA, José; DIAS, Fernando; MOTA, Alexandre (2004) - Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study. Engineering Applications of Artificial Intelligence. ISSN 0952-1976. Vol. 17, nº 3, p. 265–273 | por |
| dc.identifier.issn | 0952-1976 | |
| dc.identifier.uri | http://hdl.handle.net/10400.11/2135 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | Elsevier | por |
| dc.relation.publisherversion | http://www.sciencedirect.com/science/article/pii/S0952197604000211 | por |
| dc.subject | Temperature control | por |
| dc.subject | Fuzzy hybridsystems | por |
| dc.subject | Artificial neural networks | por |
| dc.subject | Applied neuro-fuzzy control | por |
| dc.subject | Model-based control | por |
| dc.subject | Real-time control | por |
| dc.title | Artificial neural networks and neuro-fuzzy systems for modelling and controlling real systems: a comparative study | por |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 273 | por |
| oaire.citation.startPage | 265 | por |
| oaire.citation.title | Engineering Applications of Artificial Intelligence | por |
| person.familyName | Vieira | |
| person.givenName | Jose António | |
| person.identifier.ciencia-id | 7718-ACD9-3BB2 | |
| person.identifier.orcid | 0000-0003-4201-4278 | |
| person.identifier.rid | AAE-9051-2020 | |
| rcaap.rights | restrictedAccess | por |
| rcaap.type | article | por |
| relation.isAuthorOfPublication | ca1fe7ed-3691-4c89-8b8f-e91a55040e9b | |
| relation.isAuthorOfPublication.latestForDiscovery | ca1fe7ed-3691-4c89-8b8f-e91a55040e9b |