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dc.date.accessioned 2008-05-22T19:30:53Z
dc.date.available 2008-05-22T03:00:00Z
dc.date.issued 2005 es
dc.identifier.uri http://hdl.handle.net/10915/9507
dc.description.abstract This paper presents a neuro-fuzzy network where all its parameters can be tuned simultaneously using Genetic Algorithms. The approach combines the merits of fuzzy logic theory, neural networks and genetic algorithms. The proposed neuro-fuzzy network does not require a priori knowledge about the system and eliminates the need for complicated design steps like manual tuning of input-output membership functions, and selection of fuzzy rule base. Although, only conventional genetic algorithms have been used, convergence results are very encouraging. A well known numerical example derived from literature is used to evaluate and compare the performance of the network with other modelling approaches. The network is further implemented as controller for two simulated thermal processes and their performances are compared with other existing controllers. Simulation results show that the proposed neuro-fuzzy controller whose all parameters have been tuned simultaneously using GAs, offers advantages over existing controllers and has improved performance. es
dc.format.extent p. 37-43 es
dc.language en es
dc.title A genetic based neuro-fuzzy controller for thermal processes es
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/journal/journal13/papers/JCST-Apr05-7.pdf es
sedici.creator.person Goel, Ashok Kumar es
sedici.creator.person Saxena Chandra, Suresh es
sedici.creator.person Surekha, Bhanot es
sedici.subject.materias Ciencias Informáticas es
sedici.subject.descriptores Redes neuronales es
sedici.subject.descriptores Informática es
sedici.subject.descriptores Aplicación informática es
sedici.subject.keyword neuro-fuzzy controller; fuzzy logic; modelling; neural networks; genetic algorithms es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000597 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 5, no. 1 es

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