Using Artificial Neural Networks in Predicting the Level of Stress among Military Conscripts

Using Artificial Neural Networks in Predicting the Level of Stress among Military Conscripts

The present study aims to elucidate the main variables that increase the level of stress at the beginning of military conscription service using an artificial neural network (ANN)-based prediction model. Random sample data were obtained from one battalion of the Lithuanian Armed Forces, and a survey...

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Bibliographic Details
Main Authors: Svajone Bekesiene, Rasa Smaliukiene, Ramute Vaicaitiene
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Mathematics
Subjects:
multilayer perceptron neural network
hyperbolic tangent activation function
hidden layers
back-propagation algorithm
cross-entropy error
stress levels
Online Access:https://www.mdpi.com/2227-7390/9/6/626

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https://www.mdpi.com/2227-7390/9/6/626

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