location： Current position: Home >> Scientific Research >> Paper Publications

Spatio-temporal water height prediction for dam break flows using deep learning

Hits:

Date of Publication:2024-05-21

Journal:Ocean Engineering

Volume:302

ISSN No.:0029-8018

Key Words:Auto encoders; Brain; Dam-break flow; Dam-breaks; Dams; Decision making; Deep learning; flood control; Flood control; Flood control projects; flooding; Floods; Forecasting; Height fields; Learning systems; machine learning; prediction; Principal component analysis; Spatio-temporal; spatiotemporal analysis; Spatio-temporal prediction; Time series analysis; water column; Water height prediction; Water heights

Pre One:Prediction of Cavity Length Using an Interpretable Ensemble Learning Approach

Next One:An accurate and efficient deep learning model for spatio-temporal prediction of interfacial flows
Recommended Ph.D.Supervisor Recommended MA Supervisor Institutional Repository Personal Page

Address: No.2 Linggong Road, Ganjingzi District, Dalian City, Liaoning Province, P.R.C., 116024

Click : times
  • MOBILE Version
    •
    Open time:..
    The Last Update Time:..

    Mobile phone sweep