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Journal: Polymers, 2022
Volume: 14
Number: 3500
3500
Article: Machine Learning Approach to Predict Physical Properties of Polypropylene Composites: Application of MLR, DNN, and Random Forest to Industrial Data
Authors: by Chonghyo Joo, Hyundo Park, Hyukwon Kwon, Jongkoo Lim, Eunchul Shin, Hyungtae Cho and Junghwan Kim
Link: https://www.mdpi.com/2073-4360/14/17/3500

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