NAHL: a Neural network with an Augmented Hidden Layer
Versione 2.4.0 (39,4 KB) da
BERGHOUT Tarek
An interesting new architecture for artificial neural networks
****The current version of NAHL is able to adapt with both classification and regession****
Please read these papers carefuly :
Please cite our NAHL papers as:
[1] T. Berghout, M. Benbouzid, S. M. Muyeen, T. Bentrcia, and L.-H. Mouss, “Auto-NAHL: A Neural Network Approach for Condition-Based Maintenance of Complex Industrial Systems,” IEEE Access, vol. 9, pp. 152829–152840, 2021, doi: 10.1109/ACCESS.2021.3127084.
[2] T. Berghout and M. Benbouzid, “EL-NAHL: Exploring Labels Autoencoding in Augmented Hidden Layers of Feedforward Neural Networks for Cybersecurity in Smart Grids,” Reliab. Eng. Syst. Saf., p. 108680, Jun. 2022, doi: 10.1016/j.ress.2022.108680.
[3] T. Berghout, M. Benbouzid, Y. Amirat and G. Yao, "Lithium-ion Battery State of Health Prediction with a Robust Collaborative Augmented Hidden Layer Feedforward Neural Network Approach," in IEEE Transactions on Transportation Electrification, doi: 10.1109/TTE.2023.3237726.
Compatibilità della release di MATLAB
Creato con
R2018b
Compatibile con qualsiasi release
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Auto_NAHL_codes
Versione | Pubblicato | Note della release | |
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2.4.0 | adding more references |
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2.3.0 | New references have been added. |
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2.2.0 | New published papers references has been added. |
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2.1.0 | -New activation function ReLU
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2.0.0 | New activation function ReLU
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1.1.0 | Citation is updated |
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1.0.0 |