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 Convolutional...
Main Authors: | Fatsuma Jauro, Abdulsalam Ya'u Gital, Usman Ali Abdullahi, Aminu Onimisi Abdulsalami, Mohammed Abdullahi, Adamu Abubakar Ibrahim, Haruna Chiroma |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-06-01
|
Series: | Intelligent Systems with Applications |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667305324000255 |
Similar Items
-
Binary Symbiotic Organism Search Algorithm for Feature Selection and Analysis
by: Cao Han, et al.
Published: (2019-01-01) -
An Adaptive Fuzzy Symbiotic Organisms Search Algorithm and Its Applications
by: Nurul Asyikin Zainal, et al.
Published: (2020-01-01) -
A Novel Implementation of Nature-inspired Optimization for Civil Engineering: A Comparative Study of Symbiotic Organisms Search
by: Doddy Prayogo, et al.
Published: (2017-03-01) -
A Novel Implementation of Nature-inspired Optimization for Civil Engineering: A Comparative Study of Symbiotic Organisms Search
by: Doddy Prayogo, et al.
Published: (2017-03-01) -
Scheduling of fog networks with optimized knapsack by symbiotic organisms search
by: Dadmehr Rahbari, et al.
Published: (2017-11-01)