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With the wide application of biometrics, more and more attention has been paid to the security of biometric templates. However most of existing biometric template protection (BTP) methods have some security problems, e.g. the problem that protected t
Externí odkaz:
http://arxiv.org/abs/2408.03704
Publikováno v:
Journal of Theoretical and Applied Sciences.
This paper constructs a self-organizing maps (SOM) neural network model for the anomaly data cleaning in thermal power plant detection. The test data is trained 2000 times so that the vector of each weight is located at the center of the input vector