A LSTM surrogate modelling approach for caisson foundations
Sign Up to like & getrecommendations! Published in 2020 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2020.107263
Abstract: Abstract This study proposes a hybrid surrogate modelling approach with the integration of deep learning algorithm long short-term memory (LSTM) to identify the mechanical responses of caisson foundations in marine soils. The LSTM based surrogate… read more here.
Keywords: modelling approach; caisson foundations; lstm based; surrogate modelling ... See more keywords
Surrogate modelling approach: A solution to oil rim production optimization
Sign Up to like & getrecommendations! Published in 2019 at "Cogent Engineering"
DOI: 10.1080/23311916.2019.1631009
Abstract: Abstract Production from thin oil rim reservoirs can be very challenging due to the thin spread of the oil resources, complicated mechanism of production and fluid contact movement. Typically, the recovery from these types of… read more here.
Keywords: production; modelling approach; surrogate modelling; oil ... See more keywords
Using machine learning as a surrogate model for agent-based simulations
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0263150
Abstract: In this proof-of-concept work, we evaluate the performance of multiple machine-learning methods as surrogate models for use in the analysis of agent-based models (ABMs). Analysing agent-based modelling outputs can be challenging, as the relationships between… read more here.
Keywords: surrogate modelling; agent based; machine learning; model ... See more keywords