Run-off election-based decision method for the training and inference process in an artificial neural network

Abstract Generally, the decision rule for classifying unstructured data in an artificial neural network system depends on the sequence results of an activation function determined by vector–matrix multiplication between the input bias signal and the analog synaptic weight quantity of each node in a...

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Bibliographic Details
Main Authors: Jingon Jang, Seonghoon Jang, Sanghyeon Choi, Gunuk Wang
Format: Article
Language:English
Published: Nature Publishing Group 2021-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-020-79452-2