Catálogo de publicaciones - libros
Título de Acceso Abierto
Soft Computing and Machine Learning in Dam Engineering
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
dams; Polynomial Chaos Expansion; random fields; random forest; vibration analysis; gravity dams; safety assessment; probabilistic analysis; parameter uncertainty; sample optimization; variance-based sensitivity analysis; sensitivity analysis; polynomial chaos expansion; uncertainty; deep neural networks; rockfill dams; anomaly detection; machine learning; support vector machines; one-class classification; concrete dam; machine learning methods; structural behaviour; model validation; ice loads; concrete dams; back-calculation; dam safety; monitoring; arch dams; seismic safety; endurance time analysis; non-linear seismic analysis; concrete damage model; tensile and compressive damage; design variable; finite element; feasibility design; surrogate; AutoML; roller compacted concrete (RCC); risk-informed design; Cascadia subduction zone (CSZ); non-linear structural analysis; multilayer perceptron neural network model; structural health monitoring; threshold definition; moving average of the residuals; moving standard deviation of the residuals; DBSCAN; n/a
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No requiere | Directory of Open access Books |
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Información
Tipo de recurso:
libros
País de edición
Suiza