Modified symbiotic organisms search optimization for automatic construction of convolutional neural network architectures
Convolutional Neural Networks (ConvNets) have demonstrated impressive capabilities in image classification; however, the manual creation of these models is a labor-intensive and time-consuming endeavor due to their inherent complexity. This research introduces an innovative approach to Convolution...
Saved in:
Main Authors: | Jauro, Fatsuma, Abdullahi, Usman Ali, Abdulsalami, Aminu Onimisi, Ibrahim, Adamu Abubakar, Abdullahi, Mohammed, Chiroma, Haruna |
---|---|
Format: | Article |
Language: | English English |
Published: |
2024
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/112662/2/112662_Modified%20symbiotic%20organisms%20search%20optimization.pdf http://irep.iium.edu.my/112662/3/112662_Modified%20symbiotic%20organisms%20search%20optimization_Scopus.pdf http://irep.iium.edu.my/112662/ https://www.sciencedirect.com/journal/intelligent-systems-with-applications/vol/22/suppl/C https://doi.org/10.1016/j.iswa.2024.200349 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A survey of symbiotic organisms search algorithms and applications
by: Mohammed Abdullahi, Mohammed Abdullahi, et al.
Published: (2020) -
Optimization of neural network using cuckoo search for the classification of diabetes
by: Abubakar, Adamu, et al.
Published: (2015) -
Optimized task scheduling based on hybrid symbiotic organisms search algorithms for cloud computing environment
by: Abdullahi, Mohammed
Published: (2017) -
Symbiotic organism search optimization based task scheduling in cloud computing environment
by: Abdullahi, M., et al.
Published: (2016) -
Hybrid symbiotic organisms search optimization algorithm for scheduling of tasks on cloud computing environment
by: Abdullahi, M., et al.
Published: (2016)