Fine-tuning optimization of poly lactic acid impact strength with variation of plasticizer using simple supervised machine learning methods
The use of machine learning to fine-tune the properties of materials is a remarkable achievement in the 21st century. Three machine learning (ML) methods were used to fine-tune and optimize the impact strength of polylactic acid (PLA) with different plasticizers: KNN (K-nearest neighbors), SVR (Supp...
Main Authors: | Jaka Fajar Fatriansyah, Elvi Kustiyah, Siti Norasmah Surip, Andreas Federico, Agrin Febrian Pradana, Aniek Sri Handayani, Mariatti Jaafar, Donanta Dhaneswara |
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Format: | Article |
Language: | English |
Published: |
Budapest University of Technology
2023-09-01
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Series: | eXPRESS Polymer Letters |
Subjects: | |
Online Access: | http://www.expresspolymlett.com/letolt.php?file=EPL-0012571&mi=cd |
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