Comparison on the estimation of the biomass of a batch bioreactor through fuzzy systems, neural networks and adaptive neuro-fuzzy inference system
dc.contributor.author | Muñoz, A.A.G. | |
dc.contributor.author | Quintero, O.L. | |
dc.contributor.department | Universidad EAFIT. Departamento de Ciencias | spa |
dc.contributor.researchgroup | Modelado Matemático | spa |
dc.creator | Muñoz, A.A.G. | |
dc.creator | Quintero, O.L. | |
dc.date.accessioned | 2021-04-12T14:11:47Z | |
dc.date.available | 2021-04-12T14:11:47Z | |
dc.date.issued | 2011-01-01 | |
dc.description.abstract | The estimation of biomass production of d-endotoxins of the Bacillus thuringiensis (Bt) is a major problem in biotechnological processes, as bio-insecticides, which has been addressed with different methodologies such as extended Kalman filters (EKF), phenomenological observers, among others. This paper presents a comparison in the estimation of biomass concentration of d - endotoxins of the Bacillus thuringiensis (Bt), using Mamdani fuzzy inference systems (FIS), neural networks (NN) and adaptive neuro-fuzzy inference system (ANFIS) trained with differents clustering algorithms; and comparing the associated outcomes among these. © 2011 IEEE. | eng |
dc.identifier | https://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2412 | |
dc.identifier.doi | 10.1109/TAAI.2011.15 | |
dc.identifier.isbn | 9780769546018 | |
dc.identifier.other | SCOPUS;2-s2.0-84855915895 | |
dc.identifier.uri | http://hdl.handle.net/10784/27887 | |
dc.language.iso | eng | eng |
dc.relation.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84855915895&doi=10.1109%2fTAAI.2011.15&partnerID=40&md5=d65892a944cfa7cfc12ebb7512021a5b | |
dc.source | Comparison On The Estimation Of The Biomass Of A Batch Bioreactor Through Fuzzy Systems, Neural Networks And Adaptive Neuro-Fuzzy Inference System | |
dc.subject.keyword | Adaptive neuro-fuzzy inference system | eng |
dc.subject.keyword | Bacillus thuringiensis | eng |
dc.subject.keyword | Batch bioreactors | eng |
dc.subject.keyword | Biomass concentrations | eng |
dc.subject.keyword | Biomass productions | eng |
dc.subject.keyword | Biotechnological process | eng |
dc.subject.keyword | Fuzzy inference systems | eng |
dc.subject.keyword | Mamdani | eng |
dc.subject.keyword | Artificial intelligence | eng |
dc.subject.keyword | Bacilli | eng |
dc.subject.keyword | Bacteriology | eng |
dc.subject.keyword | Biomass | eng |
dc.subject.keyword | Clustering algorithms | eng |
dc.subject.keyword | Estimation | eng |
dc.subject.keyword | Extended Kalman filters | eng |
dc.subject.keyword | Fuzzy inference | eng |
dc.subject.keyword | Fuzzy neural networks | eng |
dc.subject.keyword | Inference engines | eng |
dc.subject.keyword | Fuzzy systems | eng |
dc.title | Comparison on the estimation of the biomass of a batch bioreactor through fuzzy systems, neural networks and adaptive neuro-fuzzy inference system | eng |
dc.type | info:eu-repo/semantics/conferencePaper | eng |
dc.type | conferencePaper | eng |
dc.type | info:eu-repo/semantics/publishedVersion | eng |
dc.type | publishedVersion | eng |
dc.type.local | Documento de conferencia | spa |