Uporaba strojnega učenja pri razvoju kemijskih procesov

Dobnikar, Žan (author), Žnidaršič Plazl, Polona (mentor)

Diplomsko delo govori o razvoju in zgodovini strojnega učenja, prikaže njegove pomembnejše metode in kako delujejo, njihove prednosti in pomanjkljivosti ter kako se razne metode lahko aplicirajo na področju kemije. Opiše tudi postopek optimizacije reakcijskih pogojev in procese odkrivanja novih učinkovin s pomočjo teh metod. Metode tudi primerja s tradicionalnimi metodami in opiše človeško vlogo na področju strojnega učenja.

• Language: Slovenian
• Keywords: strojno učenje, umetna inteligenca, kemijski procesi.
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FKKT - Faculty of Chemistry and Chemical Technology
• Year: 2024
• PID: 20.500.12556/RUL-161360
• COBISS.SI-ID: 214526467
• Publication date in RUL: 10.09.2024

DOBNIKAR, Žan, 2024, Uporaba strojnega učenja pri razvoju kemijskih procesov [online]. Bachelor’s thesis. [Accessed 30 March 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=161360

Secondary language

• Language: English
• Title: Use of machine learning for the development of chemical processes

Abstract

The thesis discusses the development and history of machine learning, showcasing its major methods and how they function, their advantages and disadvantages, and demonstrates how various methods can be applied in the field of chemistry. It also describes the process of optimizing reaction conditions and the discovery of new active substances using these methods. Additionally, the thesis compares these methods with traditional ones and describes the human role in the field of machine learning.

• Keywords: machine learning, artificial intelligence, chemical processes.