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A comparison of novel methods for anomaly detection in the agri-food supply chain, specifically exploring the effectiveness of Autoencoders and Self-Organizing Maps.

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GianFederico/MD-Big_Data

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6 Commits
AUTOENCODER
AUTOENCODER
 
 
SOM
SOM
 
 
__pycache__
__pycache__
 
 
data/test
data/test
 
 
models
models
 
 
output_ac
output_ac
 
 
output_som
output_som
 
 
Documentation.pdf
Documentation.pdf
 
 
README.md
README.md
 
 
req_torch.txt
req_torch.txt
 
 
requirements.txt
requirements.txt
 
 

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To run the code, install requirements in the right environment and run the try_[...].py files to test the pre-trained models

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A comparison of novel methods for anomaly detection in the agri-food supply chain, specifically exploring the effectiveness of Autoencoders and Self-Organizing Maps.

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som autoencoder anomaly-detection

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