Interval type‐2 fuzzy logic with Karmen‐Mendel algorithm for sequential ionic liquid dissolution–solid acid saccharification

ABSTRACT Background Acquiring a good model is important for representing a real system especially in complex chemical processes. In this work, type‐2 fuzzy logic with the Karmen‐Mendel algorithm is proposed to model sequential ionic liquid dissolution–solid acid saccharification. The fuzzy calculati...

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Veröffentlicht in:Journal of chemical technology and biotechnology (1986) Jg. 94; H. 4; S. 1073 - 1081
Hauptverfasser: Lee, Kiat Moon, Zanil, Mohd Fauzi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Chichester, UK John Wiley & Sons, Ltd 01.04.2019
Wiley Subscription Services, Inc
Schlagworte:
Acids
Algorithms
catalysts
Chemical reactions
Computer applications
Computing time
data collection
Dissolution
Fuzzy logic
fuzzy modelling
Fuzzy systems
ionic liquid dissolution
Ionic liquids
Ions
Karmen‐Mendel algorithm
Mathematical models
optimisation
Organic chemistry
prediction
reducing sugars
Saccharification
sago waste
solid acid saccharification
Solvents
Substrates
Sugar
ISSN:0268-2575, 1097-4660
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Zusammenfassung:ABSTRACT Background Acquiring a good model is important for representing a real system especially in complex chemical processes. In this work, type‐2 fuzzy logic with the Karmen‐Mendel algorithm is proposed to model sequential ionic liquid dissolution–solid acid saccharification. The fuzzy calculation framework was regressed using a gradient descent technique to find the best fit model for a given data set with the target to achieve minimum integral square error (ISE) between predicted and experiment data. Results The regression results for both ionic liquid dissolution and solid acid saccharification were ISE 107.62 at a computational time of 907.35 s, and ISE 69.65 at 672.90 s, respectively. The high R‐squared value of 0.98829 (ionic liquid dissolution) and 0.92585 (solid acid saccharification) indicated the good fit of the models. An optimum reducing sugars yield of 99.0% at dissolution conditions: 1.5 h, 155 °C and 1.5% substrate loading; and saccharification conditions: 1.5 h, 120 °C and 6% catalyst loading, was achieved. Conclusion This study has demonstrated the good fit of a model for the sequential ionic liquid dissolution–solid acid saccharification process. The model developed has the potential to be used in predicting sugars production in the sequential ionic liquid dissolution–solid acid saccharification. © 2018 Society of Chemical Industry
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ISSN:0268-2575
1097-4660
DOI:10.1002/jctb.5854