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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Egile Nagusiak:	Jameer Basha, Nebojsa Bacanin, Nikola Vukobrat, Miodrag Zivkovic, K. Venkatachalam, Stepan Hubálovský, Pavel Trojovský
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	MDPI AG 2021-10-01
Saila:	Sensors
Gaiak:	swarm intelligence Harris Hawks optimization exploitation–exploration trade-off chaotic quasi-reflection-based learning convolutional neural networks
Sarrera elektronikoa:	https://www.mdpi.com/1424-8220/21/19/6654
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!