Multi-Layer Perception model with Elastic Grey Wolf Optimization to predict student achievement

This study proposes a Grey Wolf Optimization (GWO) variant named Elastic Grey Wolf Optimization algorithm (EGWO) with shrinking, resilient surrounding, and weighted candidate mechanisms. Then, the proposed EGWO is used to optimize the weights and biases of Multi-Layer Perception (MLP), and the EGWO-...

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Detalles Bibliográficos
Autores principales: Song, Yinqiu, Meng, Xianqiu, Jiang, Jianhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803241/
https://www.ncbi.nlm.nih.gov/pubmed/36584034
http://dx.doi.org/10.1371/journal.pone.0276943

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803241/
https://www.ncbi.nlm.nih.gov/pubmed/36584034
http://dx.doi.org/10.1371/journal.pone.0276943

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