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...
| Published in: | Express Polymer Letters |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
BME-PT and GTE
2023
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164596409&doi=10.3144%2fexpresspolymlett.2023.71&partnerID=40&md5=adcc14241fb2e56fc067ab0e5d9396d2 |