Using_Artificial_Intelligence_to_forecast_the_location_of_earthquake_and_post-earthquake-induced_landslides.pdf (5.01 MB)
0/0

Using Artificial Intelligence to forecast the location of earthquake and post-earthquake-induced landslides

Download (5.01 MB)
presentation
posted on 24.09.2019 by Rand Huso

This presentation will be on the progress we've made trying to forecast landslides caused by earthquakes and precipitation. Good quality input datasets are used to train a Tensorflow / Keras Sequential neural network whose parameters are determined by using Bayesian hyperparameter optimization (BayesianOptimization), and whose training details are established by using KFold (sklearn) iterations with the EarlyStopping monitor. The resulting trained neural network is then applied to all the available data, and some graphs are created to show the results.


Funding

National eScience Infrastructure

Ministry of Business, Innovation and Employment

Find out more...

History

Publisher

New Zealand eScience Infrastructure

Spatial coverage

New Zealand

Temporal coverage: start

05/09/2019

Temporal coverage: end

06/09/2019

Licence

Exports

Logo branding

Categories

Licence

Exports