A Low-Power Analog Integrated Euclidean Distance Radial Basis Function Classifier

A Low-Power Analog Integrated Euclidean Distance Radial Basis Function Classifier

This study introduces a low-power analog integrated Euclidean distance radial basis function classifier. The high-level architecture is composed of several Manhattan distance circuits in connection with a current comparator circuit. Notably, each implementation was designed with modularity and scala...

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Bibliographic Details
Main Authors: Vassilis Alimisis, Christos Dimas, Paul P. Sotiriadis
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Electronics
Subjects:
analog VLSI
low-power design
cardiovascular disease
machine learning
analog classifiers
Online Access:https://www.mdpi.com/2079-9292/13/5/921

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https://www.mdpi.com/2079-9292/13/5/921

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