Cargando…
Personalized Hybrid Education Framework Based on Neuroevolution Methodologies
The future pedagogical systems need anthropocentric inclusive educational programs in which the goal should be adjustable according to the knowledge requirements, intelligence, and learning objective of each student. Prioritizing these needs, innovative AI methods are required to assist and ensure t...
Autor principal: | Yin, Wenjing |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135544/ https://www.ncbi.nlm.nih.gov/pubmed/35634078 http://dx.doi.org/10.1155/2022/6925668 |
Ejemplares similares
-
Neuroevolution Guided Hybrid Spiking Neural Network Training
por: Lu, Sen, et al.
Publicado: (2022) -
Hands-On Neuroevolution with Python
por: Omelianenko, Iaroslav
Publicado: (2019) -
Maximizing adaptive power in neuroevolution
por: Pagliuca, Paolo, et al.
Publicado: (2018) -
Robust optimization through neuroevolution
por: Pagliuca, Paolo, et al.
Publicado: (2019) -
Correspondence between neuroevolution and gradient descent
por: Whitelam, Stephen, et al.
Publicado: (2021)