LAUSR

Ferroelectric Memristive Networks for Dimensionality Reduction: A Process for Effectively Classifying Cancer Datasets

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0 Published in 2019 at "Integrated Ferroelectrics"

DOI: 10.1080/10584587.2019.1668697

Abstract: Abstract In this work, a copper-doped (5%) zinc oxide (Cu:ZnO) ferroelectric materials-based memristor model was realized and it was employed to develop principal component analysis (PCA), a data dimension reduction technique. The developed PCA was… read more here.

Keywords: cancer datasets; reduction; network; memristive networks ... See more keywords