A Machine Learning Based Approach for Improving Prediction Capability of Semi-Empirical Thermodynamic Models

Vaisová, Felicita

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A Machine Learning Based Approach for Improving Prediction Capability of Semi-Empirical Thermodynamic Models – Bc. Felicita Vaisová

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Bc. Felicita Vaisová

Master's thesis

A Machine Learning Based Approach for Improving Prediction Capability of Semi-Empirical Thermodynamic Models

Přístup založený na strojovém k učení ke zlepšení prediktivní schopnosti semi-empirických termodynamických modelů

Language used: English

Date on which the thesis was submitted / produced: 2025

Thesis defence

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ISO 690-compliant citation record:

VAISOVÁ, Felicita. \textit{A Machine Learning Based Approach for Improving Prediction Capability of Semi-Empirical Thermodynamic Models}. Online. Master's thesis. Praha: University of Chemistry and Technology Prague, Faculty of Chemical Engineering. 2025. Available from: https://theses.cz/id/j6nix8/.

@MastersThesis{Vaisova2025thesis,
AUTHOR = "Vaisová, Felicita",
TITLE = "A Machine Learning Based Approach for Improving Prediction Capability of Semi-Empirical Thermodynamic Models [online]",
YEAR = "2025 [cit. 2026-04-21]",
TYPE = "Master's thesis",
SCHOOL = "University of Chemistry and Technology Prague, Faculty of Chemical EngineeringPraha",
NOTE = "SUPERVISOR: ",
URL = "https://theses.cz/id/j6nix8/",
}

@MastersThesis{Vaisova2025thesis,
AUTHOR = {Vaisová, Felicita},
TITLE = {A Machine Learning Based Approach for Improving Prediction Capability of Semi-Empirical Thermodynamic Models},
YEAR = {2025},
TYPE = {Master's thesis},
INSTITUTION = {University of Chemistry and Technology Prague, Faculty of Chemical Engineering},
LOCATION = {Praha},
SUPERVISOR = {},
URL = {https://theses.cz/id/j6nix8/},
URL_DATE = {2026-04-21},
}

{{Citace kvalifikační práce
 | příjmení = Vaisová
 | jméno = Felicita
 | instituce = University of Chemistry and Technology Prague, Faculty of Chemical Engineering
 | titul = A Machine Learning Based Approach for Improving Prediction Capability of Semi-Empirical Thermodynamic Models
 | url = https://theses.cz/id/j6nix8/
 | typ práce = Master's thesis
 | vedoucí = 
 | rok = 2025
 | počet stran =
 | strany =
 | citace = 2026-04-21
 | poznámka =
 | jazyk = 
}}

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University of Chemistry and Technology, Prague

Faculty of Chemical Engineering

Master programme:
Chemical Engineering and Bioengineering

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