Developing Novel Robust Loss Functions-Based Classification Layers for DLLSTM Neural Networks

Developing Novel Robust Loss Functions-Based Classification Layers for DLLSTM Neural Networks

In this paper, we suggest improving the performance of developed activation function-based Deep Learning Long Short-Term Memory (DLLSTM) structures by employing robust loss functions like Mean Absolute Error <inline-formula> <tex-math notation="LaTeX">$(MAE)$ </tex-math>&...

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Bibliographic Details
Main Authors: Mohamad Abou Houran, Mohamed H. Essai Ali, Adel B. Abdel-Raman, Eman A. Badry, Alaaeldien Hassan, Hany A. Atallah
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
DNN
DLLSTM
loss function
mean absolute error
sum squared error
Online Access:https://ieeexplore.ieee.org/document/10124197/

Internet

https://ieeexplore.ieee.org/document/10124197/

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