{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-multi-hidden-recurrent-neural-network-with","title":"A Multi Hidden Recurrent Neural Network with a Modified Grey Wolf Optimizer","arxiv_id":"1903.11712","date":"2019-03-27","proceeding":null,"authors":["Tarik A. Rashid","Dosti K. Abbas","Yalin K. Turel"],"abstract":"Identifying university students' weaknesses results in better learning and\ncan function as an early warning system to enable students to improve. However,\nthe satisfaction level of existing systems is not promising. New and dynamic\nhybrid systems are needed to imitate this mechanism. A hybrid system (a\nmodified Recurrent Neural Network with an adapted Grey Wolf Optimizer) is used\nto forecast students' outcomes. This proposed system would improve instruction\nby the faculty and enhance the students' learning experiences. The results show\nthat a modified recurrent neural network with an adapted Grey Wolf Optimizer\nhas the best accuracy when compared with other models.","url_abs":"http://arxiv.org/abs/1903.11712v1","url_pdf":"http://arxiv.org/pdf/1903.11712v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-multi-hidden-recurrent-neural-network-with","repo_url":"https://github.com/Tarik4Rashid4/student-performance","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}