Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Neural Network based Student Grade Prediction Model Subject The topic of the resource Four Layer Network; Hidden Layers; Neural Network; Neural Network Model Description An account of the resource Student final grade GPA is the collective efforts of their previous and ongoing efforts of each semester examination may predict accurately using the neural network which receives the input weight of each matrix element of variables to next neuron. The GPA prediction based on regular class performance and previous grades with background variables were found much significant. This research tries to explore the model comparison and evaluate student grade prediction using various neural network models. The single-layer half i.e., successful student model predicts 90 total accuracies than the single layer with five hidden layer neurons (88.5 percent). The multi-layer with two hidden layers (7,3) is 84 percent accuracy is less than one percent accuracy than multilayer with three hidden layers. Similarly, the multilayered with four hidden layered 25,12,7,3 model predicts the least accuracy (77 percent accuracy) for student grade. Similarly, the passed student prediction model has less accuracy than both students' 86 percent. 2022 IEEE. Creator An entity primarily responsible for making the resource Rimal Y.; Rathore V.S.; Pageni S.; Samanta D.; Karuppiah M.; Singh D. Source A related resource from which the described resource is derived Proceedings - 2022 International Conference on Machine Learning, Computer Systems and Security, MLCSS 2022, pp. 22-27. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/MLCSS57186.2022.00013" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/MLCSS57186.2022.00013</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152406793&amp;doi=10.1109%2FMLCSS57186.2022.00013&amp;partnerID=40&amp;md5=b35c7d2a865bbe78963beefaa061214e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152406793&amp;doi=10.1109%2fMLCSS57186.2022.00013&amp;partnerID=40&amp;md5=b35c7d2a865bbe78963beefaa061214e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166545493-3 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Rimal Y., Pokhara University, Gandaki, Nepal; Rathore V.S., Iis (Deemed to Be University), Department of Computer Science, Jaipur, India; Pageni S., Tribhuvan University Pnc, Department of Department of Education, Kaski, Nepal; Samanta D., Christ (Deemed to Be University), Department of Computer Science, Bangalore, India; Karuppiah M., Srm Institute of Science and Technology, Delhi-NCR Campus, Department of Computer Science and Engineering, Ghaziabad, India; Singh D., Soa University, Department of Ca, Bhubaneswar, India