Chaotic Harris Hawks Optimization with Quasi-Reflection-Based Learning: An Application to Enhance CNN Design

The research presented in this manuscript proposes a novel Harris Hawks optimization algorithm with practical application for evolving convolutional neural network architecture to classify various grades of brain tumor using magnetic resonance imaging. The proposed improved Harris Hawks optimization...

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Detalles Bibliográficos
Autores principales: Basha, Jameer, Bacanin, Nebojsa, Vukobrat, Nikola, Zivkovic, Miodrag, Venkatachalam, K., Hubálovský, Stepan, Trojovský, Pavel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512121/
https://www.ncbi.nlm.nih.gov/pubmed/34640973
http://dx.doi.org/10.3390/s21196654

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512121/
https://www.ncbi.nlm.nih.gov/pubmed/34640973
http://dx.doi.org/10.3390/s21196654

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