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  A hybrid model-data-driven framework for inverse load identification of interval structures based on physics-informed neural network and improved Kalman filter algorithm
 
 
Title: A hybrid model-data-driven framework for inverse load identification of interval structures based on physics-informed neural network and improved Kalman filter algorithm
Author: Liu, Yaru
Wang, Lei
Ng, Bing Feng
Appeared in: Applied energy
Paging: Volume 359 () nr. C pages p.
Year: 2024
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 8 of 92 found articles
 
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