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Analyzing the Impact of Yoga and Meditation on the Psychological and Physiological Well-being of University Students: An Artificial Neural Network (ANN) Model
Author Name : Shubham Chahar, Dr. J.K. Arora, Dr. Utkarsh Kumar
ABSTRACT The practice of yoga and meditation has gained significant attention in recent years for its potential benefits on mental and physical well-being. This study aims to explore the impact of yoga and meditation on the psychological and physiological aspects of university students using an Artificial Neural Network (ANN) model. By utilizing a combination of data analytics and machine learning techniques, we seek to uncover hidden patterns and correlations between yoga and meditation practices and various measures of well-being among university students. A sigmoid axon was used as a transfer function for input and output layers. The Levenberg Marquardt Algorithm (LMA) was applied, giving a minimum mean squared error (MSE) for training and cross-validation at the ninth place of decimal.