Adaptive habitat biogeography-based optimizer for optimizing deep CNN hyperparameters in image classification

Adaptive habitat biogeography-based optimizer for optimizing deep CNN hyperparameters in image classification

Deep Convolutional Neural Networks (DCNNs) have shown remarkable success in image classification tasks, but optimizing their hyperparameters can be challenging due to their complex structure. This paper develops the Adaptive Habitat Biogeography-Based Optimizer (AHBBO) for tuning the hyperparameters...

Full description

Bibliographic Details
Main Authors: Jiayun Xin, Mohammad Khishe, Diyar Qader Zeebaree, Laith Abualigah, Taher M. Ghazal
Format: Article
Language:English
Published: Elsevier 2024-04-01
Series:Heliyon
Subjects:
Digital image classification
Deep convolutional neural networks
Biogeography-based optimizer
Adaptive habitat
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024041781

Internet

http://www.sciencedirect.com/science/article/pii/S2405844024041781

Similar Items