Multi-Objective RSO-Based Convolutional Neural Networks

版本 1.0.0 (40.1 MB) 作者: Gehad Ismail Sayed
RSO is used to find the optimal values for the hyperparameters of the deep-learning Architecture
0.0
(0)
147.0 次下载
更新时间 2023/4/8

查看许可证

Rat Swarm Optimizer (RSO) is one of the recently published swarm intelligence algorithms proposed in late 2020 by G. Dhiman. This paper introduces a novel diagnosis approach, namely RSO-AlexNet-COVID-19. The proposed hybrid approach is based on the rat swarm optimizer (RSO) and convolutional neural network (CNN). RSO is used to find the optimal values for the hyperparameters of the AlexNet Architecture to achieve a high level of diagnostic accuracy for COVID-19. It obtained overall classification accuracy of 100% for CT images datasets and an accuracy of 95.58% for the X-ray images dataset. Moreover, the performance of the proposed hybrid approach is compared with other CNN architecture, Inception v3, VGG16, and VGG19.

引用格式

Gehad Ismail Sayed A Novel Multi-Objective Rat Swarm Optimizer-Based Convolutional Neural Networks for the Diagnosis of COVID-19 Disease. Aut. Control Comp. Sci. 56, 198–208 (2022). https://doi.org/10.3103/S0146411622030075

MATLAB 版本兼容性
创建方式 R2023a
兼容任何版本
平台兼容性
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Rat Swarm Optimizer-Based Convolutional Neural Networks for the Diagnosis of COVID-19 Disease

Rat Swarm Optimizer-Based Convolutional Neural Networks for the Diagnosis of COVID-19 Disease

版本 已发布 发行说明
1.0.0