Comparison of Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Models in Simulating Polygalacturonase Production

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dc.authorscopusid55211022900
dc.authorscopusid8257317300
dc.contributor.authorUzuner, Sibel
dc.contributor.authorCekmecelioglu, Deniz
dc.date.accessioned2024-09-25T19:44:21Z
dc.date.available2024-09-25T19:44:21Z
dc.date.issued2016
dc.departmentAbant İzzet Baysal Üniversitesien_US
dc.description.abstractThe artificial neural network (ANN) method was used in comparison with the adaptive neuro-fuzzy inference system (ANFIS) to describe polygalacturonase (PG) production by Bacillus subtilis in submerged fermentation. ANN was evaluated with five neurons in the input layer, one hidden layer with 7 neurons, and one neuron in the output layer. Five fermentation variables (pH, temperature, time, yeast extract concentration, and K2HPO4 concentration) served as the input of the ANN and ANFIS models, and the polygalacturonase activity was the output. Coefficient of determination (R2) and root mean square values (RMSE) were calculated as 0.978 and 0.060, respectively for the best ANFIS structure obtained in this study. The R2 and RMSE values were computed as 1.00 and 0.030, respectively for the best ANN model. The results showed that the ANN and ANFIS models performed similarly in terms of prediction accuracy. © 2016. All Rights Reserved.en_US
dc.description.sponsorshipGraduate School of Natural and Applied Sciences; METU Research Council, (BAP-03-14-2011-002)en_US
dc.identifier.doi10.15376/BIORES.11.4.8676-8685
dc.identifier.endpage8685.en_US
dc.identifier.issn1930-2126
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85046406351en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage8676en_US
dc.identifier.urihttps://doi.org/10.15376/BIORES.11.4.8676-8685
dc.identifier.urihttps://hdl.handle.net/20.500.12491/12794
dc.identifier.volume11en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherNorth Carolina State Universityen_US
dc.relation.ispartofBioResourcesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzYK_20240925en_US
dc.subjectAdaptive neuro-fuzzy inference systemen_US
dc.subjectArtificial intelligenceen_US
dc.subjectBack-propagation networken_US
dc.subjectPolygalacturonaseen_US
dc.titleComparison of Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Models in Simulating Polygalacturonase Productionen_US
dc.typeArticleen_US

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