Communication Development and Verification for Python-Based Machine Learning Models for Real-Time Hybrid Simulation

Communication Development and Verification for Python-Based Machine Learning Models for Real-Time Hybrid Simulation

Hybrid simulation (HS) combines analytical modeling with experimental testing to provide a better understanding of both structural elements and entire systems while keeping cost-effective solutions. However, extending real-time HS (RTHS) to bigger problems becomes challenging when the analytical mod...

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Bibliographic Details
Main Authors: Elif Ecem Bas, Mohamed A. Moustafa
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-09-01
Series:Frontiers in Built Environment
Subjects:
real-time hybrid simulation
machine learning
data transfer
linear regression
long-short term memory
deep neural networks
Online Access:https://www.frontiersin.org/article/10.3389/fbuil.2020.574965/full

Internet

https://www.frontiersin.org/article/10.3389/fbuil.2020.574965/full

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