Fuzzy modeling applied to optical and surface properties of a ferrocenylsiloxane polyamide solution

A fuzzy model was designed to predict changes in surface tension and maximum absorbance due to self-assembly in a DMF solution of poly{1,1′-ferrocene-diamide-[1,3-bis(propylene) tetramethyl-disiloxane} as a function of temperature and concentration. The building of fuzzy rule-based inference systems...

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Bibliographic Details
Published in:Central European journal of chemistry 2012-02, Vol.10 (1), p.194-204
Main Authors: Pislaru, Marius, Curteanu, Silvia, Cazacu, Maria
Format: Article
Language:English
Subjects:
Absorbance
Biochemistry
Biological and Medical Physics
Biophysics
Chemistry
Chemistry and Materials Science
Chemistry/Food Science
Ferrocenylsiloxane polyamide
Fuzzy modeling
Geochemistry
Mamdani inference
Research Article
Surface tension
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Summary:A fuzzy model was designed to predict changes in surface tension and maximum absorbance due to self-assembly in a DMF solution of poly{1,1′-ferrocene-diamide-[1,3-bis(propylene) tetramethyl-disiloxane} as a function of temperature and concentration. The building of fuzzy rule-based inference systems appears as a grey-box because it allows interpretation of the knowledge contained in the model as well as its improvement with a-priori knowledge. The method provides accurate results and increases the efficiency of utilizing the available information in the model. Small mean squared errors (0.0064 for absorbance and 0.79 for surface tension) and strong correlations between experiment and simulated results (0.93 and 0.97, respectively) were found during model validation. The results showed that it is feasible to apply a Mamdani fuzzy inference system to the estimation of optical and surface properties of a ferrocenylsiloxane polyamide solution.
ISSN:1895-1066
2391-5420
1644-3624
2391-5420
DOI:10.2478/s11532-011-0126-3