Prediction Model for Tensile Modulus of Carbon Nanotube–Polymer Composites
This work develops a Neural Network (NN) model for the prediction of the tensile modulus of carbon nanotube (CN)/polymer nanocomposites, based on experimental database. A data set composed of 282 configurations is collected from available resources. Considered input variables of the dataset are such...
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| Main Authors: | , |
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| Format: | Bài trích |
| Language: | English |
| Published: |
Springer
2022
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| Subjects: | |
| Online Access: | https://link.springer.com/chapter/10.1007/978-3-030-92574-1_80 https://dlib.phenikaa-uni.edu.vn/handle/PNK/5715 https://doi.org/10.1007/978-3-030-92574-1_80 |
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