Abstract
Internet has become vital part of everyone’s life. This is very true with students as they must be susceptible to the internet usage for effective learning. Our study focuses on use of the internet by students according to academic perspective. The objective is to predict most affecting variables which deal with the causes and reasons of possible restriction on usage of the internet by students. The study has deployed artificial neural network (ANN) model for taking anticipatory measures for predicting use of the internet. The Levenberg - Marquardt Back Propagation method was performed for training data with three layers with five algorithms of NN are simulated and compared the results. Optimal artificial neural network model is proposed as a final outcome. Experimentation was carried out in R software.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
