GitHub - feferna/psoCNN: Code to validate the "Particle swarm optimization of deep neural networks architectures for image classification" paper.
Authors: Francisco Erivaldo Fernandes Junior and Gary G. Yen
F. E. Fernandes Junior and G. G. Yen, “Particle swarm optimization of deep neural networks architectures for image classification,” Swarm and Evolutionary Computation, vol. 49, pp. 62–74, Sep. 2019.
@article{fernandes_junior_particle_2019,
title = {Particle swarm optimization of deep neural networks architectures for image classification},
volume = {49},
issn = {22106502},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2210650218309246},
doi = {10.1016/j.swevo.2019.05.010},
language = {en},
urldate = {2019-07-06},
journal = {Swarm and Evolutionary Computation},
author = {Fernandes Junior, Francisco Erivaldo and Yen, Gary G.},
month = sep,
year = {2019},
pages = {62--74},
}
Note1: If your system has all these packages installed, the code presented here should be able to run on Windows, macOS, or Linux.
Note2: The algorithm's parameters can modified in the file main.py.
Note3: due to our limited resources, we cannot provide any support to the code in this repository.