Machine Learning Applied to Composite Materials / Vinod Kushvaha ... [et al.] editors |
Pubbl/distr/stampa | Singapore, : Springer, 2022 |
Descrizione fisica | vi, 198 p. : ill. ; 24 cm |
Soggetto non controllato |
Artificial neural network
Carbon Fiber-Reinforced Laminates Composite Material Design Fracture Toughness Prediction Glass Fiber Reinforced Polymer Machine learning Materials modelling Natural Fiber Biocomposite Particulate Polymer Composite Silica-Filled Polymer Composite |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0278455 |
Singapore, : Springer, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|
Machine Learning Applied to Composite Materials / Vinod Kushvaha ... [et al.] editors |
Pubbl/distr/stampa | Singapore, : Springer, 2022 |
Descrizione fisica | vi, 198 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
74-XX - Mechanics of deformable solids [MSC 2020] |
Soggetto non controllato |
Artificial neural network
Carbon Fiber-Reinforced Laminates Composite Material Design Fracture Toughness Prediction Glass Fiber Reinforced Polymer Machine learning Materials modelling Natural Fiber Biocomposite Particulate Polymer Composite Silica-Filled Polymer Composite |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN00278455 |
Singapore, : Springer, 2022 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Vanvitelli | ||
|