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...
Main Authors: | , , , |
---|---|
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 |