Long Short-Term Memory Recurrent Neural Network Approach for Approximating Roots (Eigen Values) of Transcendental Equation of Cantilever Beam

Long Short-Term Memory Recurrent Neural Network Approach for Approximating Roots (Eigen Values) of Transcendental Equation of Cantilever Beam

In this study, the natural frequencies and roots (Eigenvalues) of the transcendental equation in a cantilever steel beam for transverse vibration with clamped free (CF) boundary conditions are estimated using a long short-term memory-recurrent neural network (LSTM-RNN) approach. The finite element m...

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Bibliographic Details
Main Authors: Madiha Bukhsh, Muhammad Saqib Ali, Abdullah Alourani, Khlood Shinan, Muhammad Usman Ashraf, Abdul Jabbar, Weiqiu Chen
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Applied Sciences
Subjects:
clamped free
finite element method
transcendental equation
roots (Eigen values)
long short-term memory
recurrent neural network
Online Access:https://www.mdpi.com/2076-3417/13/5/2887

Internet

https://www.mdpi.com/2076-3417/13/5/2887

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