Data Preprocessing and Neural Network Architecture Selection Algorithms in Cases of Limited Training Sets—On an Example of Diagnosing Alzheimer’s Disease

Data Preprocessing and Neural Network Architecture Selection Algorithms in Cases of Limited Training Sets—On an Example of Diagnosing Alzheimer’s Disease

This paper aimed to increase accuracy of an Alzheimer’s disease diagnosing function that was obtained in a previous study devoted to application of decision roots to the diagnosis of Alzheimer’s disease. The obtained decision root is a discrete switching function of several variables applicated to a...

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Bibliographic Details
Main Authors: Aleksandr Alekseev, Leonid Kozhemyakin, Vladislav Nikitin, Julia Bolshakova
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Algorithms
Subjects:
integrated rating mechanisms
decisions’ roots
criteria trees
convolution matrices
data preprocessing
system-cognitive analysis
Online Access:https://www.mdpi.com/1999-4893/16/5/219

Internet

https://www.mdpi.com/1999-4893/16/5/219

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