HAL Id: hal-03110492
https://hal.archives-ouvertes.fr/hal-03110492
Submitted on 14 Jan 2021
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Anomaly detection in orthogonal metal cutting based on autoencoder method
Maxime Dawoua Kaoutoing, Raymond Houé Ngouna, Olivier Pantalé, Tibi Beda
To cite this version:
Maxime Dawoua Kaoutoing, Raymond Houé Ngouna, Olivier Pantalé, Tibi Beda. Anomaly detection
in orthogonal metal cutting based on autoencoder method. 9th international Conference on Intelligent
Systems 2018, Sep 2018, Madeira, Portugal. pp.0. �hal-03110492�
OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible
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to the repository administrator: tech-oatao@listes-diff.inp-toulouse.fr This is an author’s version published in: http://oatao.univ-toulouse.fr/21325
To cite this version:
Dawoua Kaoutoing, Maxime and Houé Ngouna, Raymond and Pantalé, Olivier and Beda, Tibi Anomaly detection in
orthogonal metal cutting based on autoencoder method. In: 9th international Conference on Intelligent Systems 2018, 25 September 2018 - 27 September 2018 (Madeira, Portugal).
Open Archive Toulouse Archive Ouverte
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1.! Initialize the weights (Wj) and the biases (bj) 2.! Iterate until convergence criterion is reached:
a.! Get the training sample
b.! Update all weights and biases as in (5) and (6):
@ABC , @ABD EF=&/> G'
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