A QFT Approach to Data Streaming in Natural and Artificial Neural Networks

A QFT Approach to Data Streaming in Natural and Artificial Neural Networks

In the actual panorama of machine learning (ML) algorithms, the issue of the real-time information extraction/classification/manipulation/analysis of data streams (DS) is acquiring an ever-growing relevance. They arrive generally at high speed and always require an unsupervised real-time analysis fo...

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Bibliographic Details
Main Authors: Gianfranco Basti, Giuseppe Vitiello
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Proceedings
Subjects:
data streaming
unsupervised machine learning
dissipative QFT
Bogoliubov transform
doubling of the degrees of freedom
Online Access:https://www.mdpi.com/2504-3900/81/1/106

Internet

https://www.mdpi.com/2504-3900/81/1/106

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