Research Project
Researchers:
Edith Cowan University
(Managed by)
,
Jumana Abu-Khalaf
(Associated with)
,
Md Noman
(Associated with)
,
Paul Lavery
(Associated with)
,
Seyed Jalali
(Associated with)
View all 6 related researchers
Full description
We developed a novel Deep Neuroevolutionary (DNE) model that can automate the architectural engineering and hyperparameter tuning of CNNs models by developing and using a novel metaheuristic algorithm, named 'Boosted Atomic Orbital Search (BAOS)'. This proposed BAOS-CNN model achieves the highest overall accuracy (97.48%) among the seven evolutionary-based CNN models. The proposed model was tested and evaluated on this multi-species seagrass dataset.