A quantum classification algorithm for classification incomplete patterns based on entanglement measure

In this paper, a novel quantum classification algorithm that is based on competitive learning is presented to classify an input pattern that results from the failures of some sensors. As long as an incomplete pattern is presented to our model, the proposed algorithm performs the competitions between...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2020-01, Vol.38 (3), p.2809-2816
Hauptverfasser:	Abdel-Aty, Abdel-Haleem, Kadry, Heba, Zidan, Mohammed, Al-Sbou, Yazeed, Zanaty, E. A., Abdel-Aty, Mahmoud
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Computer simulation Machine learning Quantum computers Quantum entanglement
Online-Zugang:	Volltext
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