Assessing Efficiency in Artificial Neural Networks

The purpose of this work was to develop an assessment technique and subsequent metrics that help in developing an understanding of the balance between network size and task performance in simple model networks. Here, exhaustive tests on simple model neural networks and datasets are used to validate...

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Bibliographic Details
Main Authors: Nicholas J. Schaub, Nathan Hotaling
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/18/10286