Artificial neural network assessment for predicting elastic and optical properties of binary tellurite and borate glass systems
The introduction of artificial neural networks (ANNs) in the glass field has greatly improved this area to further increase fabrication productivity. ANNs are the systems that help the glass expert to estimate a few parameters such as density, ultrasonic velocity, elastic moduli and optical band gap...
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| Autor principal: | |
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| Formato: | Thesis |
| Idioma: | English |
| Publicado em: |
2021
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| Acesso em linha: | http://ethesis.upm.edu.my/id/eprint/17244/1/FS%202022%2035%20T.pdf |
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